Research works

JPResUnet: A joint probability density function translation model in partially premixed flames

Machine learning (ML) for turbulent combustion modelling can offer high fidelity within the training regime, yet its robustness under unseen conditions remains a practical concern. Conversely, established presumed probability density function (PDF) approaches are generally robust...

DOSE: An open-source, iOS watch-based tool for experience sampling

Smartwatches facilitate low-burden rapid-access micro-interactions, making them ideal for Experience Sampling Methods (ESMs). Despite the Apple Watch being the most popular smartwatch in the U.S., it has yet to be utilized in ESM studies due to a lack of accessible frameworks tha...

Genotype imputation and error estimation in connected multiparental populations

Multiparental populations have been produced for quantitative trait loci (QTL) mapping in many crops, where next-generation sequencing has become a cost-effective tool for genotyping. Previously, we have developed a hidden Markov framework denoted by MagicImpute_mma for genotype...

Tail Modulo Async-Await

This article extends tail-call optimisation by applying it to asynchronous calls. We first introduce TMA, a novel code transformation for asynchronous tail recursive functions that prevents the creation of unnecessary tasks. We then show how to combine TMA with the existing TMC o...

Comprehensive benchmarking of machine learning methods for risk prediction modelling from large-scale survival data: a UK Biobank study

Predictive modelling is vital to guide the prevention of incident disease (e.g., risk-based initiation of preventive pharmacotherapies). Whilst large-scale prospective cohort studies and a diverse toolkit of available machine learning (ML) algorithms have facilitated such surviva...

DHHC21 is a STIM1 protein S-acyltransferase that modulates immune function in vivo

Depletion of calcium from ER stores leads to the activation of calcium channels on the plasma membrane known as store-operated calcium entry. The proteins STIM1 and STIM2 function as ER calcium sensors, and upon store depletion, they undergo a conformational change that allows th...

New insights into the evolution of Charlie Chaplin worms (Histriobdellidae, Eunicida, Annelida)

Abstract Histriobdellidae, the so-called Charlie Chaplin worms, is an enigmatic group of microscopic commensal annelids associated with crustaceans. They crawl by alternately attaching their adhesive anterior appendages and left and right huge lateral ‘feet’, and bear a complex j...

A flat-band perspective on the boson peak in amorphous solids

The boson peak is a characteristic anomaly of amorphous solids broadly defined as a low-energy excess in the density of states and heat capacity compared to the textbook predictions of Debye theory. The origin of this anomaly has long been the subject of ongoing debate and remain...

Long-time behaviour of sphalerons in ϕ 4 models with a false vacuum

Abstract Evolution of sphalerons in a class of quartic Klein–Gordon models are studied under a growing perturbation. Sphalerons are unstable lump-like solutions that arise from a saddle point between true and false vacua in the energy functional. Numerical simulations are present...

Evaluating noises of fast-simulated boson sampling with statistical benchmark methods

Abstract It is important to know noise levels of boson sampling in order to cautiously demonstrate the quantum computational advantage or realize certain tasks. Based on those statistical benchmark methods such as the correlators and clouds, which are initially proposed to discri...

Prohibitin 1 orchestrates mitochondrial-ER crosstalk via the VDAC1-GRP75-IP3R axis to drive malignancy in gastric cancer

<title>Abstract</title> <bold>Background</bold>: Mitochondria-associated endoplasmic reticulum (ER) membranes (MAMs), serving as critical hubs for mitochondrial- ER interactions, play a pivotal role in cancer progression. Prohibitin 1 (PHB1), an inner mitochondrial membrane prote...

Challenges in deep learning-based small organ segmentation: A benchmarking perspective for medical research with limited datasets

Accurate segmentation of carotid artery structures in histopathological images is vital for cardiovascular disease research. This study systematically evaluates ten deep learning segmentation models including classical architectures, modern CNNs, a Vision Transformer, and foundat...

Gromov–Wasserstein Barycenters: The Analysis Problem

Abstract. This paper considers the problem of estimating a matrix that encodes pairwise distances in a finite metric space—or, more generally, the edge weight matrix of a network—under the barycentric coding model with respect to the Gromov–Wasserstein (GW) distance function. We...

Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs

Understanding the dynamic transition of motifs in temporal graphs is essential for revealing how graph structures evolve over time, identifying critical patterns, and predicting future behaviors, yet existing methods often focus on predefined motifs, limiting their ability to com...

Integral Artin motives II: Perverse motives and Artin Vanishing Theorem

In this text, we are mainly interested in the existence of the perverse motivic t-structures on the category of Artin étale motives with integral coefficients. We construct the perverse homotopy t-structure which is the best possible approximation to a perverse t-structure on Art...

Minimum Partition of Polygons under Width and Cut Constraints

We study the problem of partitioning a polygon into the minimum number of subpolygons using cuts in a fixed set of directions such that each resulting subpolygon satisfies a given width constraint. A polygon satisfies the unit-width constraint for a set of directions if the lengt...

A systematic review of early neuroimaging and neurophysiological biomarkers for post-stroke mobility prognostication

Abstract Background Accurate prognostication of mobility outcomes is essential to guide rehabilitation and manage patient expectations. The prognostic utility of neuroimaging and neurophysiological biomarkers remains uncertain when measured early post-stroke. This systematic revi...

Mathematical modeling for a primitive form of habituation in an amoeba

Abstract Learning abilities, once thought to be unique to higher animals, have been reported to exist in their primitive form in single-celled organisms. This has triggered a growing interest in carefully examining the nature and mechanisms of the primitive versions of learning a...

Characterizing intra- and intertumor heterogeneity in ovarian high-grade serous carcinoma subtypes using single-cell and spatial transcriptomics

Ovarian high-grade serous carcinoma (HGSC) is an aggressive ovarian cancer with a heterogeneous tumor microenvironment (TME). Advances in single-cell RNA sequencing (scRNA-seq) and spatially-resolved transcriptomics have enabled the study of complex TME. This study explores conne...

Unraveling the effects of fracture density and intensity on reservoir connectivity and flow behavior

<title>Abstract</title> Understanding the factors that influence fluid flow in fractured reservoirs is crucial for optimizing production and enhancing reservoir management. While extensive studies have focused on network characterization, the direct influence of density and inten...