Research works

Multi-modal learning with incomplete data

Multi-modal learning, in which diverse data types are integrated and analyzed together, has become a central area of research in artificial intelligence, driving major advances in a wide range of domains. However, in many practical situations, certain modalities or variables may...

Integrated Immunotherapy Target Atlas for Ewing Sarcoma

Abstract Background/Aim: Ewing sarcoma is a fusion-driven malignancy with low tumor mutational burden, making recurrent tumor-associated antigens with favorable tumor-to-normal contrast central to immunotherapy development. We converted the Deng et al.-defined 32-gene Ewing Sarco...

Evaluating perceptual measures of body image disturbance: relationships between dimensions and their predictive value in eating and body dysmorphic disorder symptomatology

Abstract Body image disturbance is a common characteristic of eating and body dysmorphic disorders that can manifest through three theorised dimensions: evaluative, behavioural, and perceptual. Despite this, the perceptual aspect of body image disturbance is not well understood,...

ProvMind: provenance-grounded reasoning for materials synthesis

Materials process optimization requires reasoning over routes, conditions, tools and material-flow dependencies, yet most computational formulations flatten synthesis procedures into text or ordered steps. We introduce MatProcBench, a provenance-grounded benchmark constructed fro...

A first extraction of gluon TMDs from Higgs data at the LHC

Abstract We present the first extraction of the unpolarised gluon transverse-momentum-dependent (TMD) parton distribution from Higgs-boson production data at the LHC within the framework of TMD factorisation. The analysis is based on the currently available set of ATLAS and CMS m...

Exponential measurement error mitigation in quantum sampling

Abstract Measurement errors limit the fidelity of sampling-based quantum tasks, yet extending error mitigation to sampling remains challenging. Here, we introduce a simple and scalable repetition-based scheme that mitigates measurement errors directly at the sampling level. By en...

Stream Assembly Is an Uncontrolled Treatment in Streaming Intrusion-Detection Benchmarks: Reproducibility Package

Reproducibility package for "Stream Assembly Is an Uncontrolled Treatment inStreaming Intrusion-Detection Benchmarks". Contents: the analysis code and tests, the LaTeX source of the manuscript, thegenerated macro layer that every reported number resolves through, the full setof r...

Contrasting trends of contemporary migration and mobility with a focus on international students

This article offers a discussion of current patterns and dynamics in contemporary migration and mobility, with a focus on international student flows. It draws on data and estimates from the United Nations (UN) and other international organizations, alongside insights from the mi...

Combined Disruption of Multiple Cytokine Signaling Pathways Enables One-Step Anterograde Tracing with Vesicular Stomatitis Virus

Abstract Defining the direct postsynaptic targets of selected neuronal populations remains a major challenge for neural circuit mapping. Vesicular stomatitis virus (VSV) spreads efficiently in the anterograde direction, but replication-competent VSV undergoes multistep spread and...

Personality Types as Predictors of Job Satisfaction Among Correctional Officers

Background: Correctional officers in sub-Saharan Africa operate within one of the most psychologically demanding occupational environments in the public sector. Tasked with custodial management, rehabilitation, and reintegration of incarcerated populations in severely under-resou...

Does low dose radiation induced adaptive response influence initial DNA-DSB formation? Evidence from γH2AX foci analysis in human lymphocytes

Abstract Purpose Low-dose radiation-induced adaptive response (LDRIAR) is well documented, but its role in early DNA damage signalling remains unclear. This study aimed to investigate whether adaptive response influences initial DNA double-strand break (DSB) recognition, as refle...

Explainable AI–enhanced pavement deterioration modeling using hybrid classification–regression deep learning architecture

Abstract Effective Pavement Management System (PMS) planning depends on the ability to anticipate both the severity and physical extent of multiple distress types under real-world data constraints. This work introduces an interpretable dual-stage Deep Learning (DL) framework that...

Mathematical Abstract of a DCT-QIM Watermarking System with RS Coding and Soft Beam Decoding

This note gives a concise mathematical description of a watermarking pipeline that embedsa short payload into the mid-frequency DCT coefficients of image blocks using QuantizationIndex Modulation (QIM), protects the payload with Reed–Solomon (RS) channel codingover GF(28), and re...

Automatic Classification of Thermal Phases During Steel Oxidation via PCA and Infrared Thermography Time Series

High-temperature oxidation affects the surface condition and quality of steel products, yet automated identification of the thermal stages governing oxide-scale formation remains limited. This study evaluated whether infrared thermography time series combined with dimensionality...

Cryogenic time-division-multiplexed voltage control for scalable trapped-ion quantum processors

Trapped-ion quantum computers based on the quantum charge-coupled device architecture require on the order of ten trap electrodes per qubit, making the number of vacuum feedthroughs a bottleneck at the system scale. Time-division multiplexed (TDM)-based voltage control for trap e...

Improved recipes for peculiar velocity power spectra using Evolution Mapping

Abstract We present new fitting functions for the velocity divergence auto- and cross-power spectra, Pθθ(k) and Pδθ(k), calibrated on gravity-only N-body simulations. By applying the Evolution Mapping framework, we revise existing prescriptions to introduce a physically motivated...

So Below: Empirical Exploration of the Universal Imscriptive Grammar

We introduce the Universal Imscriptive Grammar (Universal Imscriptive Grammar): a twelve-primitive grammar assigning any system a coordinate in a discrete space of 17,280,000 types — the Crystal of Types. Induced from the scientific literature as the minimal shared properties of...

Insights Into the Nature of Quantum Emitters in Electron‐Irradiated Hexagonal Boron Nitride

ABSTRACT Quantum emitters in hexagonal boron nitride (hBN) have emerged as a promising solid‐state platform for quantum technology applications. However, a persistent challenge in the field is the unclear origin of many observed emission lines, particularly in the visible range,...

Study of the Superradiance Phenomenon in the α’attractor Potential using the Log Derivative Method

In this article, we solve the time–independent one–dimensional Klein–Gordon equation in the presence of [Formula: see text]–attractor potential using the Log derivative method. We calculate the reflection coefficient [Formula: see text] and the transmission coefficient [Formula:...

MeTime: An R package for reproducible longitudinal metabolomics data analysis

Abstract MeTime is an opensource R package for reproducible analysis of longitudinal metabolomics data. It builds upon a central S4 container, metime_analyser, that stores multiple datasets, associated metadata and analysis outputs, enabling unified handling of complex longitudin...