Research works

Pinwheel Scheduling with Real Periods

For a sequence of tasks, each with a positive integer period, the pinwheel scheduling problem involves finding a valid schedule in the sense that the schedule performs one task per day and each task is performed at least once every consecutive days of its period. It had been conj...

Stromme syndrome presenting with classic microcephaly and apple-peel intestinal atresia in a neonate: a genetically confirmed case report

<title>Abstract</title> <bold>Background:</bold> Stromme syndrome is an exceptionally rare autosomal recessive ciliopathy caused by biallelic pathogenic variants in the <italic>CENPF</italic> gene. It is classically characterized by microcephaly and apple-peel type intestinal atr...

Bias Testing and Mitigation in Black Box LLMs using Metamorphic Relations

The widespread deployment of Large Language Models (LLMs) has intensified concerns about subtle social biases embedded in their outputs. Existing guardrails often fail when faced with indirect or contextually complex bias-inducing prompts. To address these limitations, we propose...

Semi-universality of CFT$_d$ entropy at large spin

The thermal partition function, Z <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mi>Z</mml:mi> </mml:math> , of a CFT_d <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mi>C</mml:mi> <mml:mi>F</mml:mi> <mm...

PD-1 regulates CD4+ T cell-mediated CD8+ T cell responses in the brain to balance viral control and neuroinflammation

Abstract Programmed cell death protein 1 (PD-1) is expressed by T cells during progressive multifocal leukoencephalopathy (PML), a life-threatening brain disease caused by the human-only JC polyomavirus. Why PD-1 blockade finds variable success in PML patients is unclear. Brain C...

Reconstitution of glycan-driven MHC-I recycling reveals calreticulin as mediator between TAPBPR and tapasin

Abstract Protein folding in the endoplasmic reticulum (ER) is essential for about one-third of the mammalian proteome. N-linked glycosylation and subsequent glycan remodeling barcodes glycoproteins during their maturation in the ER. Major histocompatibility complex class I (MHC I...

Development of a chemometric platform for mid-infrared fermentation monitoring

<title>Abstract</title> Industrial bioprocess development still depends heavily on off-line analytics such as HPLC, which, while accurate, are slow and limit real-time decision-making. Process Analytical Technologies (PAT) can overcome this barrier, with mid-infrared spectroscopy...

Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays

In the context of spiking neural networks, the temporal coding hypothesis is increasingly preferred over the rate coding hypothesis due to its advantages in processing speed and energy efficiency. In temporal coding, synaptic delays are crucial for processing signals with precise...

MIR17HG Expression Is Transcriptionally Regulated by PAX3::FOXO1 and MYCN and is Necessary for Oncogenic Activity in Fusion-Positive Rhabdomyosarcoma

Alveolar rhabdomyosarcoma (RMS), an aggressive pediatric soft tissue cancer, is driven by the oncogenic fusion transcription factor PAX3::FOXO1 (P3F) or PAX7::FOXO1. In a subset of fusion-positive (FP)-RMS cases, amplification of the MIR17HG locus leads to overexpression of the m...

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...