Research works

A global base temperature dataset for residential building energy demand modelling

Abstract. Accurate building energy demand modeling is critical to decarbonizing regional energy systems. The cooling and heating degree-day models are widely used due to their simplicity and low data requirements; however, the lack of accurate base temperature data limits their p...

Mesoscale structures in signed networks

Mesoscale structures in signed networks have been studied under the limiting assumption of the validity of social balance theory, which predicts positive connections within groups and negative connections between groups. Here, we propose and apply a methodology that overcomes thi...

The Modality Principle in Immersive and Non‐Immersive Virtual Reality: An Eye Tracking Study

ABSTRACT Background According to the modality principle of the Cognitive Theory of Multimedia Learning, learning is better facilitated when visual content is accompanied by a vocal narration compared to text explanation. However, the application of this principle in immersive vir...

Purpose in life and exercise task behaviors: Evidence from a 10-week running task in college students

This study examined associations between purpose in life (PIL) and objective indicators of exercise task completion patterns among college students. Participants were 547 college students (Mean age = 19.71, 42.23% female) required to complete 63 km within 10 weeks for course cred...

Extriangulated structures from stability conditions and application to braid representations

We use the notion of Bridgeland stability condition and an associated rank function to endow triangulated categories with extriangulated structures and study their extriangulated Grothendieck groups. This study is motivated by Khovanov–Seidel’s categorification of the Burau repre...

Birkhoff spectra of symbolic almost one-to-one extensions

Given a continuous self-map $f$ on some compact metrisable space $X$, it is natural to ask for the visiting frequencies of points $x\in X$ to sufficiently ``nice'' sets $C\subseteq X$ under iteration of $f$. For example, if $f$ is an irrational rotation on the circle, it is well-...

The influence of heteroresistance, growth and antibiotic selection in shaping the invasion dynamics of colistin resistant Pseudomonas aeruginosa

Abstract Heteroresistance, where a small subpopulation of resistant cells coexists within an otherwise susceptible population, plays a critical role in bacterial survival during antibiotic exposure. Yet, its influence on the invasion success of resistant strains remains poorly un...

Towards Robust Deep Reinforcement Learning against Environmental State Perturbation

Abstract Adversarial attacks and robustness in Deep Reinforcement Learning (DRL) have been widely studied in various threat models; however, few consider environmental state perturbations, which are natural in embodied scenarios. To improve the robustness of DRL agents, we formul...

Edge-disjoint linkage in infinite graphs

In 1980, Thomassen stated his weak linkage conjecture: for an odd positive integer k, if a graph G is k-edge-connected, then, for any collection of k pairs of vertices {s_1,t_1}, ..., {s_k,t_k} in G, not necessarily distinct, there are pairwise edge-disjoint paths P_1,...,P_k in...

Hybrid hypergraph networks for multimodal sequence data classification

Abstract Modeling temporal multimodal data requires both long-range temporal dependencies and cross-modal interactions to be represented. Existing approaches commonly model each modality separately and then apply shallow fusion, which can limit the representation of higher-order...

Fatigue crack growth in elastomers for leading-edge erosion protection of wind turbine blades

Abstract. Fatigue crack growth has been observed as a prominent damage mode in rain erosion of wind-turbine blades, where it is driven by cyclic pulse loading from liquid-droplet impacts. This study investigates fatigue crack growth in a thermoplastic polyurethane elastomer used...

Lie superalgebras generated by reflections in Weyl groups of classical type

We consider the finite Weyl groups of classical type ( W ( A r ) for r ≥ 1 , W ( B r ) = W ( C r ) for r ≥ 2 , and W ( D r ) for r ≥ 4 ) as supergroups in which the reflections are of odd superdegree. Viewing the corresponding complex group algebras as Lie superalgebras via the g...

Adaptive Randomized Pivoting and Volume Sampling

Abstract. Adaptive randomized pivoting (ARP) is a recently proposed and highly effective algorithm for column subset selection. This paper reinterprets the ARP algorithm by drawing connections to the volume sampling distribution and active learning algorithms for linear regressio...

From Classification to Cross-Modal Understanding: Leveraging Vision- Language Models for Fine-Grained Renal Pathology

Fine-grained glomerular subtyping is essential for kidney biopsy interpretation, yet it presents a harder setting than the broad organ- or disease-level recognition tasks commonly used in vision-language model (VLM) evaluation. In this task, all categories arise within the same r...

Modeling U.S. Mortality and Suicide Rates by Integrating Mental Health and Socioeconomic Indicators

Accurate mortality modeling is central to actuarial science and public health, especially as mental health emerges as a significant factor in population outcomes. This article develops and applies a Bayesian hierarchical model to analyze U.S. county-level mortality and suicide ra...

Line defects with a cusp in fermionic CFTs

A bstract We study line defects with a cusp in fermionic CFTs arising as fixed points of scalar-fermion theories with Yukawa interactions. These include the Gross-Neveu-Yukawa model and some of its generalizations with additional scalar fields, which can be thought of as UV compl...

A residual weighted physics informed neural network for forward and inverse problems of reaction diffusion equations

Physics-Informed Neural Networks (PINNs) constitute an effective deep learning approach for solving partial differential equations (PDEs). In this work, we propose a Residual-Weighted Physics-Informed Neural Network (RW-PINN), a new method designed to enhance the accuracy of PINN...

Aversive learning retroactively modulates neutral episodic memories structured by prior knowledge of predictive sequences

Linking memories of temporally separated neutral and threatening experiences can support later recognition of early warning signals. Yet it remains unclear what cognitive processes might allow the seemingly inconsequential neutral events – encoded in safe contexts and thus prone...

The influence of vapor pressure deficit changes on global terrestrial evapotranspiration

Abstract. Vapor pressure deficit (VPD) is increasingly recognized as the primary driver of uncertainty in future global evapotranspiration (E) trends. Accurately characterizing the spatiotemporal dynamics of VPD and clarifying its mechanisms of influence on terrestrial E are cruc...

Spectral Instability in the Smooth Ponomarenko Dynamo

Abstract We consider the kinematic dynamo equations for a passive vector in $$\mathcal {M} \times \mathbb {T} \subseteq \mathbb {R}^2 \times \mathbb {T}$$ M × T ⊆ R 2 × T describing the evolution of a magnetic field with resistivity $$\varepsilon > 0$$ ε > 0 , that is transported...