2026 October - 31 articles
High-quality, annotated datasets are crucial for enhancing the application of natural language processing tasks. Nevertheless, in the educational domain, they are limited compared to the vast amount of learning content. In the context of smart learni...
Chikungunya is a mosquito-borne viral disease and an important public health challenge, particularly in regions where competent Aedes vectors are established. High-quality question-answering resources grounded in authoritative clinical guidance are n...
Small tabular datasets can produce uncertain performance estimates because limited sample information affects both model fitting and evaluation. This study developed a procedure calibrated through simulation to estimate the mean absolute discrepancy...
The widespread adoption of smart TVs has made content overload in television programming increasingly severe, and high-quality recommender systems are critical for improving user experience. However, the broadcast-television-recommendation field has...
Reliable urban air-quality assessment increasingly depends on integrating heterogeneous data sources, yet doing so in data-sparse cities, where reference monitoring is limited and low-cost sensors dominate, remains an open challenge. This study prese...
This paper presents an open, anonymized dataset of academic service requests collected before and after an administrative process redesign in a multi-campus university in Ecuador. The dataset was extracted from the Sistema Nacional Académico a...
The present article provides genotype and phenotype data of 3279 Kazakh local horses from various regions of Kazakhstan. Genotypic data are 81,974 single nucleotide polymorphisms (SNPs) from genome-wide genotyping of all individuals sampled. All hors...
Magic effects are staged events in which a performer uses concealed conjuring methods to produce an apparently impossible outcome, such as an object vanishing, appearing, or transforming. Because these events violate observers’ ordinary causal...
Uropathogenic Escherichia coli (UPEC) is the main cause of urinary tract infections (UTIs), and its clinical success depends on adherence and colonization of the urothelium. Most publicly deposited UPEC genomes lack accompanying phenotypic validation...
The exponential growth of social media platforms generates massive volumes of user-generated data that service enterprises can leverage to understand and predict customer behavior. However, relatively few studies have examined how social media shapes...
House construction via cutting slope (HCCS) is an increasingly important driver of geohazards in the granite weathering regions of southeastern China. In these areas, frequent intense rainfall and the rapid growth of self-built rural housing together...
Recirculating cooling systems require reliable control of water concentration to limit scaling while avoiding unnecessary water losses associated with excessive blowdown and make-up water demand. This study developed and evaluated a paper-based color...
The elite swimming calendar became substantially denser after 2020. We examined how the individual-event medalist population at the nine global championships of 2016–2025 changed in age structure, podium tenure, medal accumulation, and turnover...
High-frequency electromagnetic component design is often a complex and computationally expensive task. Analytical techniques are uncommon and frequently yield only approximate solutions. Design processes often necessitate expensive full-wave electrom...
Sparse and heterogeneous plastic-related data complicate the construction of analytical datasets and the evaluation of predictive models. This study presents AUDA, a workflow that organizes human-reviewed records extracted by PRISM into country&ndash...
Comparative research on the urban geography of ethnic groups in North America is hampered by the incompatibility of the United States and Canadian statistical systems: different concepts (race and detailed origin versus visible minority), different g...
Industrial rolling tests produce large collections of component-level vibration spectra, but their reuse depends on preserving measurement relationships and distinguishing repeat tests from repeated exports. This Data Descriptor presents 13 anonymize...
Background: Public colposcopy image datasets are scarce, geographically narrow, and rarely accompanied by structured clinical annotations. We present INTELKAMAT, an anonymised cervical colposcopy image dataset of 934 RGB JPEG images at 1280 × 9...
Housing tokenisation usually reaches the public as a story about technological innovation. The account offered here starts elsewhere, from its legal form and its data architecture, and situates the phenomenon among the infrastructures of the smart ci...
In cross-lingual natural language processing (NLP) systems, expressing a meaning from one language through an appropriate lexical unit in another language is an important task. However, many semantically and culturally rich Uzbek concepts, including...
This study outlines the conceptual framework and stakeholder-driven requirements for the Just Climate Urban Resilience Service (Just-CURS), an urban Digital Twin platform developed as part of CLIMATE-ADAPT4EOSC EU-Horizon project. Just-CURS is design...
The digital transformation of science, industry, government, and society has made data a central resource for knowledge creation and decision-making [...]
This article presents a methodology for a validated multi-city parametric dataset for data-driven assessment of single-channel solar chimneys as energy-efficient components of smart-city buildings. The dataset covers Mexico City, Hermosillo, Mé...
End-of-line vibroacoustic testing identifies abnormal noise and vibration before an electric drive leaves production, yet public datasets rarely capture production scale, heterogeneity, repeated testing, and multiple signal domains. This Data Descrip...
Large language models (LLMs) are increasingly used for qualitative coding, but their ability to recover human-defined construct boundaries remains unclear. Existing studies rarely distinguish thematic granularity from dimension-level semantic alignme...
Artificially created road surfaces are typically used in indoor test benches or simulations to study tire-road contact. This dataset contains measurements from real-world concrete highways. The data contained in the dataset can be used as a road mode...
The rescue of paper pluviographic archives is necessary, but the validation of semi-automatic digitization algorithms for pluviograms remains limited in terms of the number of climatic contexts and types of pluviograms tested. This article applies to...
Systematic measurements on a subsonic axial-flow fan rig investigated how major noise sources scale with inflow distortion parameters. Common in compact nacelles for next-generation UHBR engines, these distortions significantly amplify fan noise and...
Generating accurately annotated training data remains a major bottleneck for deploying computer-vision-based sorting systems in heterogeneous waste streams. This work evaluates whether general-purpose zero-shot object detectors can reduce annotation...
Quality monitoring in diagnostic-device manufacturing requires datasets that preserve temporal, hierarchical, and calibration-related structure while avoiding information leakage in predictive evaluation. This study presents the Diabetes-QMS Benchmar...
Inadequate management of low-density lipoprotein cholesterol (LDL-C) in patients at high and very high cardiovascular risk remains a major clinical challenge due to poor adherence, therapeutic inertia, and limited follow-up. Digital tools may improve...
