Research works

DNA methylation modulation by 5-Azacytidine regulates EMT markers and reduces invasiveness in docetaxel-resistant prostate cancer cells

<title>Abstract</title> <bold>Background:</bold> Metastatic castration-resistant prostate cancer (mCRPC) is associated with poor prognosis and high mortality, largely due to the emergence of androgen and chemotherapy resistance. Resistance to docetaxel occurs in nearly 50% of pat...

A simultaneous approach for training neural differential-algebraic systems of equations

Abstract Neural differential-algebraic systems of equations (DAEs) are a modeling paradigm where some unknown relationships within a DAE are modeled with a neural network and learned from data. Training neural DAEs is more challenging than training neural ordinary-differential eq...

Geometric standardized mean difference and its application to meta‐analysis

The standardized mean difference (SMD) is a widely used measure of effect size, particularly common in psychology, clinical trials and meta-analysis involving continuous outcomes. Traditionally, under the equal variance assumption, the SMD is defined as the mean difference divide...

A machine learning approach to predict river hydrographs for water quality sampling

Abstract Hydrology and water quality are innately linked, as flow dynamics control the transport of pollutants within river systems. Consequently, the timing of sample collection in water quality monitoring programs strongly influences the accuracy of estimated pollutant loads. T...

Performance evaluation of a position-sensitive SiPM-based gamma camera for intraoperative imaging

Abstract Background The POSiCS camera is a handheld and wireless, small field-of-view gamma camera developed for use in radio-guided surgery (RGS), with sentinel lymph node biopsy (SLNB) as its benchmark application. This compact and lightweight detector (about $$350\,\textrm{g}$...

Power distribution system blackstart restoration using renewable energy

Large-scale blackouts continue to expose the fragility of traditional top-down restoration, where end users remain de-energized until bulk generation and transmission are recovered. The rapid growth of inverter-based distributed energy resources (DERs) creates a credible alternat...

Dissociable Roles of Primary Motor and Supplementary Motor Cortex in Shaping the Neural Drive to Muscle

Abstract The primary motor cortex (M1) and supplementary motor area (SMA) are critical for motor execution and planning, yet their distinct causal contributions to modulating the neural drive to muscles remain incompletely understood. To dissociate their roles, we applied inhibit...

3D Hydrodynamic Flow Lithography

ABSTRACT Continuous‐ and stop‐flow lithography are widely used to fabricate multi‐dimensional microstructures whose cross‐sectional morphology is dictated by the flow profile of multiple co‐flowing streams. Here, we introduce three‐dimensional hydrodynamic flow lithography (3D HF...

Cysteine Thioaldehydes: Photolytic Generation, Reactivity, and Biological Implications

ABSTRACT Cysteine thioaldehydes are putative intermediates in sulfatase‐maturing enzyme catalysis and in the biosynthesis of penicillin, coenzyme A and families of ribosomally synthesized and posttranslationally modified peptides (RiPPs). Norrish type‐II photolysis of phenacylsul...

Minimal Surfaces via Complex Quaternions

Abstract. Minimal surfaces play a fundamental role in differential geometry, with applications spanning physics, materials science, and geometric design. In this paper, we explore a novel quaternionic representation of minimal surfaces, drawing an analogy with the well-establishe...

Hybrid boson sampling-neural network architecture for enhanced classification

Abstract Demonstration of quantum advantage for classical machine learning tasks remains a central goal for quantum technologies and artificial intelligence. Two major bottlenecks to this goal are the high dimensionality of practical datasets and the limited performance of near-t...

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...