NCL Data2026 · dataset
robustness_check from Evolutionary dynamics of a four-stakeholder ecosystem for misinformation governance on short-video platformsrobustness_check.m
NCL Data2026 · dataset
Data and code for "Equivalent Modulo the Ledger: Document-Grounded Accounting Identities for Verifying Financial Programs"<p dir="ltr">This item contains the code and derived data for the paper "Equivalent Modulo the Ledger: Document-Grounded Accounting Identities for Verifying Financial Programs" (submitted to Knowledge-Based Systems).</p><p dir="ltr">Contents:</p><p dir="ltr">(1) code/ – the identity miner, the three-outcome equivalence checker, labelling, verifier training and evaluation scripts;</p><p dir="ltr">(
NCL Data2026 · dataset
Table 1_Applications of artificial intelligence in traditional Chinese medicine tongue diagnosis: a bibliometric review of research trends and hotspots, 2015–2026.docxObjectives<p>This study aimed to characterize the development landscape of artificial intelligence (AI)-assisted tongue diagnosis in Traditional Chinese Medicine (TCM) by comparing publication trends, collaboration patterns, research hotspots, and emerging topics between CNKI-indexed and WoSCC-indexed literature.</p>Methods<p>Literature published between January 2015 and August 2026 was retrieved
NCL Data2026 · Astronomical catalogue
Objective classification of masseter muscle and deep inferior tendon morphology: A comparative performance analysis of machine learning algorithms<p>This study objectively classified masseter internal structure and deep inferior tendon (DIT) morphology using ultrasonography and machine learning on 229 images from 101 (DIT) and 97 (MUSCLE) patients.</p> <p>Following hybrid feature extraction (radiomics, LBP, HOG), patient-grouped, fold-internal SMOTE balancing, and LASSO-based feature selection, four algorithms were cross-validated under a l
NCL Data2026 · dataset
DentDES: code, synthetic data and results for a factorial discrete-event evaluation of appointment spacing and readiness-aware dispatch in dental clinics<p dir="ltr">Code, synthetic input data, archived results and diagnostics for the paper "DentDES: A Factorial Discrete-Event Evaluation of Appointment Spacing and Readiness-Aware Dispatch in Dental Clinics" (ISMSIT 2026).</p><p dir="ltr">The Python and SimPy model compares two appointment-spacing rules and two dispatch rules (strict first-come-first-served and readiness-aware dispatch with a bypas
NCL Data2026 · dataset
MATLAB simulation source codes from Evolutionary dynamics of a four-stakeholder ecosystem for misinformation governance on short-video platformsRSOS_figures_Table1.m
NCL Data2026 · dataset
Table 1_The role of artificial intelligence in food systems transformation: a review of opportunities, challenges, and future directions.docx<p>Global food systems face increasing pressure from climate change, resource scarcity, and supply-chain disruptions, creating a need for more integrated and resilient responses. This study critically examines the role of artificial intelligence (AI) in food-systems transformation through a systematic literature review of publications from 2020 to 2026. Guided by the PRISMA 2020 guidelines, the re
NCL Data2026 · dataset
diagnose_anomalies from Evolutionary dynamics of a four-stakeholder ecosystem for misinformation governance on short-video platformsdiagnose_anomalies.m
figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Table 1_Contemporary AI attitude scale research: a systematic mapping review and bibliometric analysis.xlsxIntroduction<p>The rapid expansion of artificial intelligence (AI) has been accompanied by growing efforts to measure individuals' attitudes toward these technologies. However, existing AI attitude scales vary considerably in their theoretical foundations, dimensional structures, target populations, and application contexts, raising questions about the extent to which they represent equivalent con
figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Democracy Now - slide presentation - English<p dir="ltr">Slide show for illustrative purpose - Democracy Now - Pre Print Review 2026</p>
figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Supplementary file 1_Measuring attitudes of ethical use of GenAI in the work of university educators in Slovakia.docx<p>Existing AI ethics frameworks provide broad principles for responsible AI use in higher education. However, empirical evidence remains limited on how university educators prioritize and differentiate concrete ethical dilemmas arising across their academic work. Within the literature included in a preceding systematic literature review, no study empirically examined the complete set of 31 identi
figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Table 1_Artificial intelligence-driven work systems and employee burnout: a systematic review of mechanisms, moderators, and a dynamic meta-system framework.docxBackground<p>The rapid integration of artificial intelligence (AI) into workplace systems is transforming job design and employee experiences. While AI promises efficiency gains, it also creates a paradox by simultaneously reducing workload and increasing psychological strain, leading to divergent effects on burnout.</p>Objective<p>This study systematically reviews evidence on the relationship bet
Teesside University Research Data Repository2026 · dataset
LAB2FAB - Human-in-the-Loop Expert System for SME SustainabilityThis repository contains anonymized research materials supporting the article: “Design and Evaluation of a Human-in-the-Loop Expert System for Sustainability Gap Analysis and Academic Expertise Matching in SMEs”. The repository provides the datasets, prompt templates, and evaluation artefacts used in the development and assessment of LAB2FAB, a human-in-the-loop expert system that combines sustain
Teesside University Research Data Repository2026 · dataset
Finality Gap ReplicationProofs of data and code for double-anonymized review
figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Table 1_Research trends in post-ERCP pancreatitis: a dual-database bibliometric analysis.docxBackground<p>Endoscopic retrograde cholangiopancreatography (ERCP) is associated with several adverse events, of which post-ERCP pancreatitis (PEP) is the most frequent despite established preventive measures. Clinical reviews evaluate risk factors and interventions, but the organization and development of the research field have received less attention. This study examined the development of the
figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Table 3_Research trends in post-ERCP pancreatitis: a dual-database bibliometric analysis.xlsxBackground<p>Endoscopic retrograde cholangiopancreatography (ERCP) is associated with several adverse events, of which post-ERCP pancreatitis (PEP) is the most frequent despite established preventive measures. Clinical reviews evaluate risk factors and interventions, but the organization and development of the research field have received less attention. This study examined the development of the
figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Table 2_Research trends in post-ERCP pancreatitis: a dual-database bibliometric analysis.xlsxBackground<p>Endoscopic retrograde cholangiopancreatography (ERCP) is associated with several adverse events, of which post-ERCP pancreatitis (PEP) is the most frequent despite established preventive measures. Clinical reviews evaluate risk factors and interventions, but the organization and development of the research field have received less attention. This study examined the development of the
figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Understanding Unfaithful Reporting by Coding Agents<p dir="ltr">Replication Package.</p>
ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset · unknown
Visual speech recognition in sparse data domainsThis work is focused on the development of Visual Speech recognition systems within sparse data domains. The use of Visual Speech recognition as this basis for a Liveness Verification system is discussed. This thesis also explores the adaptation of models trained within one domain to be used with data from another (e.g. adaptation from RGB to IR).
ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Table 6_IMicAP: an intelligent microbial application platform for knowledge-driven microbiome research.xlsxBackground<p>Microorganisms play a pivotal role in health and disease, yet microbial research is hindered by fragmented data, heterogeneous knowledge representation, and a lack of integrated analytical tools. Existing databases and knowledge graphs often focus narrowly on genomic information, leaving critical metabolomic and literature-based associations underdeveloped.</p>Results<p>We developed t
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
Large Language Models - an Overview<p dir="ltr"><b>Large Language Models: Foundations and Applications in Clinical Text</b> is an educational presentation introducing the development, architecture, and clinical applications of modern language models. The presentation traces the evolution of language modeling from early neural-network concepts and rule-based systems through n-gram models, recurrent neural networks, LSTMs, GRUs, word
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
THE IMPACT OF MODERN TECHNOLOGICAL INNOVATIONS ON FOOD<p dir="ltr">This study empirically examines how modern technological innovations affect food security in Nigerian technology-based farming organizations. The goal of this study is to ascertain the nature of connections between modern technological innovation and food security. It’s also aimed at identifying modern technological innovations that guarantee food security and determining their effect
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown
Exploring text representations for online misinformationMis- and disinformation, commonly collectively called fake news, continue to menace society. Perhaps, the impact of this age-old problem is presently most plain in politics and healthcare. However, fake news is affecting an increasing number of domains. It takes many different forms and continues to shapeshift as technology advances. Though it arguably most widely spreads in textual form, e.g., th
ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Table 5_IMicAP: an intelligent microbial application platform for knowledge-driven microbiome research.xlsxBackground<p>Microorganisms play a pivotal role in health and disease, yet microbial research is hindered by fragmented data, heterogeneous knowledge representation, and a lack of integrated analytical tools. Existing databases and knowledge graphs often focus narrowly on genomic information, leaving critical metabolomic and literature-based associations underdeveloped.</p>Results<p>We developed t
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
An M&E time machine: Using AI to measure changes in a system across a time period on features which only emerge during it.<p dir="ltr">Preprint first posted in 2024 on Sage's preprint server, which has since closed. Deposited on Figshare in September 2026.</p><p dir="ltr">People involved in project monitoring and evaluation of complex projects are familiar with what we call the ”time machine” problem: the things we want to measure (drivers, outcomes, intervening factors) may emerge and change unpredictably during a p