2026 December - 11 articles
Cross-group comparisons require both adequate measurement-model estimation and a defensible procedure for expressing group-specific estimates on a common metric. This study presents a reproducible workflow for documenting the operational feasibility...
This study develops region-specific threshold-based class definitions for recorded forest fire incidents in Attica, Eastern Macedonia and Thrace, and Crete, Greece, using meteorological and operational data from 2000–2024. Regional temperature,...
Background: Can predictive algorithms trained on survey data affected by systematic measurement error meet official statistics quality standards? This study examines the tension between design-based inference and algorithmic modelling in poverty esti...
Cross-border land logistics in international supply chains presents a complex decision-making challenge, as a logistics provider must simultaneously allocate jobs to vehicles and determine efficient delivery routes under strict capacity constraints a...
Bibliometric topic-modeling is essential for synthesizing scientific literature, yet its adoption by domain-expert teams is hindered by technical barriers. This pilot study benchmarks four topic modeling paradigms on 286 CO2 mineralization papers (20...
Recent developments in artificial intelligence, including the emergence of generative AI and large language models, have brought changes to user interaction habits as well as interface design. These emerging technologies can be integrated into digita...
Forecasting stock prices, market trends, and associated emotions remains a complex challenge due to the market’s inherent volatility, nonlinearity, susceptibility to factors such as news events, and the limited availability of financial data. S...
Large language models and the agents built on them can reach the same outcome through different internal computations, reasoning trajectories, and system-level policies. Existing reviews typically treat mechanistic interpretability, reasoning, agent...
The increasing availability of large-scale consumer data and advances in computational technologies have transformed marketing into a data-driven discipline. Mathematical and computational frameworks play a critical role in supporting decision-making...
Global university rankings differ in methodology, yet their published positions are frequently compared across systems and monitored over time. This study examines two dimensions of ranking stability: cross-sectional consistency across ranking system...
Traditional algorithmic trading relies heavily on structured financial data, but in contemporary high-density information environments, this uni-modal approach is becoming insufficient. The purpose of this study is to evaluate the impact of integrati...
