Research works

The global diffusion limit for the space-dependent variable-order time-fractional diffusion equation

Abstract The diffusion equation and its time-fractional counterpart can be obtained via the diffusion limit of continuous time random walks with exponential and heavy-tailed waiting time distributions. The space-dependent variable-order time-fractional diffusion equation is a gen...

Two-Level Sketching Alternating Anderson Acceleration for Complex Physics Applications

Abstract. We present a novel two-level sketching extension of the Alternating Anderson–Picard (AAP) method for accelerating fixed-point iterations in challenging single- and multiphysics simulations governed by discretized PDEs. Our approach combines a static, physics-based proje...

Pathways from social media use to low self-esteem: The role of body dissatisfaction and social connectedness

Background Social media platforms have become central to self-presentation and social interaction. However, accumulating evidence suggests that individuals who engage in heavy and passive social media use often experience lower self-esteem. This study aimed to examine how social...

Agrohydrological analysis of waterlogging impacts and mitigation in Ethiopia

Abstract Waterlogging is a major yet understudied constraint to cropland productivity. Here, we apply an agrohydrological modeling framework to assess the climatology of waterlogging (1981–2010), its yield impacts on major grain crops, and the potential for mitigation across Ethi...

A Causal Examination of the Solar Influence on Holocene Climate

Abstract Variations in Total Solar Irradiance (TSI) have long been hypothesized to influence global mean surface temperature (GMST) on multidecadal to millennial timescales, but empirical evidence has remained elusive. Here, we explore the link between solar variability and clima...

Machine learning analysis of COVID-19 transmission dynamics demographic risk and contact tracing outcomes in Nigeria

Abstract The COVID-19 pandemic has posed significant challenges to developing countries like Nigeria due to limited resources. Accurate prediction of disease spread is crucial for effective containment measures. This study investigates the application of statistical and machine l...

Age and Cannabis Co-Use Are Associated with Differences in Experience and Perceived Benefits of Psilocybin: A Retrospective Study

As psychedelic use increases, understanding how demographic and behavioral factors influence the effects of psychedelics is essential for both research and public health. This cross-sectional retrospective study examined 365 people who currently use psilocybin, analyzing differen...

Spherical designs for finite quaternionic unit groups and their applications to modular forms

For a finite subset X of the d -dimensional unit sphere, the harmonic strength T ( X ) of X is the set of ℓ ∈ ℕ such that ∑ x ∈ X P ( x ) = 0 for all harmonic polynomials P of homogeneous degree ℓ . We will study three exceptional finite groups of unit quaternions, called the bin...

Model Falsification for Predicting Dynamical Responses of Uncertain Structural Systems

Abstract Accurate prediction of the dynamical response of a structural system depends on appropriate modeling of that system. However, modeling becomes increasingly challenging when numerous candidate models are available to describe the system behavior. Although different model...

Preconditioning a Hybridizable Discontinuous Galerkin Method for Navier–Stokes at High Reynolds Number

Abstract. We introduce a preconditioner for a hybridizable discontinuous Galerkin discretization of the linearized Navier–Stokes equations at high Reynolds number. The preconditioner is based on an augmented Lagrangian (AL) approach of the full discretization. Unlike standard gra...

Kicking for goal or touch? An expected points framework for penalty decisions in rugby union

Abstract Following a penalty in rugby union, teams typically choose between attempting a kick at goal or kicking to touch to pursue a try. We develop an Expected Points (EP) framework that quantifies the value of each option as a function of field location and game context. Using...

Gelfand–Levitan condition for Dirac operators

We discuss how to generalise a Dirac operator such that the solution of a Dirac equation is of bounded variation rather than continuous. We build the spectral theory for generalised Dirac operators and discuss the connection between them and canonical systems. With the help of de...

Cirrhosis severity modulates proteomic and immune landscapes in hepatocellular carcinoma

Abstract Hepatocellular carcinoma (HCC) most often arises in cirrhotic livers, yet the biological impact of cirrhosis severity on the tumor proteome remains poorly understood. Here, we performed a comprehensive quantitative proteomic analysis of 141 HCC tumors stratified by the d...

Membrane affinity difference between MinD monomer and dimer is not crucial for MinD gradient formation in Bacillus subtilis

Proteins can diffuse micrometers in seconds, yet bacterial cells are able to maintain stable protein gradients. The best studied bacterial protein gradient is the Min system of Escherichia coli. In rod-shaped bacteria the MinCD proteins prevent formation of minicells by inhibitin...

Data Informativity for Stabilization of Discrete-Time Infinite-Dimensional Systems

Abstract. This paper develops a framework for data-driven stabilization of discrete-time infinite-dimensional systems. We investigate informativity for stabilization, defined as the existence of a state-feedback gain that stabilizes all systems consistent with the available input...

Iterated Agent for Symbolic Regression

Abstract Symbolic regression (SR), the automated discovery of mathematical expressions from data, is a cornerstone of scientific inquiry. However, it is often hindered by the combinatorial explosion of the search space and a tendency to overfit. Popular methods, rooted in genetic...

Filtered Quantum Phase Estimation

Abstract Accurate state preparation is a critical bottleneck in many quantum algorithms, particularly those for ground-state energy estimation. Even in fault-tolerant quantum computing, preparing a quantum state with sufficient overlap with the desired eigenstate remains a major...

Cochlear Place Specificity of the Auditory Brainstem Response to Narrowband Chirp Versus 2-1-2 Stimuli: High-Pass Noise/Derived Responses

OBJECTIVES: In recent years, many researchers have recommended using narrowband chirp (NBchirp) stimuli for auditory brainstem response (ABR) audiometry instead of more-standard 2-1-2 cycles linear-gated tones, primarily because NBchirps often result in larger ABR wave V amplitud...

Enhancing Bone Marrow Lesion Segmentation Through Dual-Channel Deep Neural Networks and Test-Time Augmentation

Bone marrow lesion (BML) volume is an essential biomarker for understanding knee osteoarthritis (KOA). However, automatic BML segmentation remains challenging due to the irregular shapes and indistinct boundaries of these lesions in knee magnetic resonance images (MRI). To improv...

Peskine Sixfolds and Debarre–Voisin Fourfolds With Associated Cubic Fourfolds

ABSTRACT We develop the notion of Peskine sixfolds with associated K3 surfaces and cubic fourfolds and work out numerical conditions for when these associations occur. In discriminant 24, the first family for which there is an associated cubic fourfold, we identify the cubic expl...