Most Recent

The persistent Hubble tension—marked by a notable disparity between early- and late-universe determinations of the Hubble constant H0—poses a serious challenge to the standard cosmological framework. Closely linked to this is the H0&minus...

We investigate the planar Dirac equation with the most general time-independent contact (singular) potential supported on a circumference. Taking advantage of the radial symmetry, the problem is effectively reduced to a one-dimensional one (the radia...

This study models the spatiotemporal heterogeneity of extreme rainfall over the Korean Peninsula using the generalised additive extreme value models (EVGAM) to address the limitations of traditional stationary approaches under climate change. Analyzi...

This econometric analysis models the conditional expectation of Europe’s shadow economy size as a function of technologization and institutional quality indicators, using a balanced panel of 29 countries from 2007 to 2022. Technologization is m...

Risk management is vital for financial institutions to evaluate and mitigate potential losses. Thunderstorm count modeling with risk analysis is used by various sectors, such as insurance and utility companies, to forecast storm recurrence, analyze r...

This research examines a multinational supply chain inventory problem involving one manufacturer and multiple retailers across a range of carbon emission combinations and an incomplete production system. It aims to identify the optimal strategies for...

Accurate and generalizable prediction of infectious disease incidence is essential for proactive public health response. This study proposes a novel hybrid VLGA-Transformer model to address this challenge, validated through tuberculosis (TB) and hepa...

A barrier Lyapunov function-based command filtered output feedback controller is proposed for the roll control of moving-mass actuated reentry vehicles challenged by strong nonlinearities, state constraints, and unmeasurable states. First, a barrier...

Adversarial learning has been attracting more and more attention thanks to the fast development of machine learning and artificial intelligence. However, due to the complicated structure of most machine learning models, the mechanism of adversarial a...

Second-order derivative information, including mixed curvature, is central to Newton and trust-region optimization, uncertainty quantification, and simulation-based design. Classical finite differences (FD) remain popular but require delicate step-si...