Research works

Synthesis and Analysis of Biochemical and Pharmaceutical Properties of Polysialylated Recombinant Streptokinase Enzyme

ABSTRACT Streptokinase (SK) is an enzyme drug and is used in medicine for dissolving clots in conditions such as heart attacks, lung artery emboli, vein thrombosis, and occlusions of arteries. Despite the impressive use of SK, its immunogenicity and short half‐life are major chal...

The pseudoautomorphism group of P3 blown‐up at 8 very general points

Abstract We prove that the pseudoautomorphism group of a blow‐up of at 8 very general points is trivial. We also establish the injectivity of the Coble representation associated to blow‐ups of at general points, answering a question of Dolgachev–Ortland.

Dataset for: Knowledge, Attitude and Practice about COVID-19 among the Adult Population of a Sub-urban Community in Bangladesh

Covid-19 is a major public health concern globally and also in Bangladesh. The highly transmissible Covid-19 has plagued the worldwide population with a continuous upward thrust of the death toll, which might be related to insufficient knowledge, attitude and practice (KAP) score...

Reaction buttons as backchannels

Abstract In spoken conversation, backchannels — responses like mhm , oh , wow — serve interpersonal and organizational roles, investing in rapport and helping order turns. Backchannels have also been found to arise in digital messaging. Additionally, in recent years, private mess...

Subspace reverse-correlation estimation of receptive fields during free viewing

Abstract Accurately mapping receptive fields under naturalistic viewing requires correcting for distortions introduced by eye movements. Current approaches often rely on parameterized “shifter networks” optimized with Poisson GLMs, but these methods are computationally intensive...

Development and validation of the personal recovery scale (ReConnect) for mental health in Ethiopia

Background: Socio-cultural context is crucial for conceptualising personal recovery in mental health, but existing measures are from Western, high-income countries. Aim: To develop and validate a mental health personal recovery measure for people with mental health conditions in...

Enhancing household resilience in addressing multidimensional poverty dynamics in Indonesia

Abstract This study examines the role of household resilience in shaping multidimensional poverty dynamics in Indonesia using nationally representative longitudinal data from the Indonesia Family Life Survey (IFLS) waves 4 and 5. A Resilience Capacity Index (RCI) was constructed...

Mendelian randomisation and colocalisation reveal pleiotropic effects of the CD40/SLC12A5 locus on CD40 protein, depression, and immune disease

Abstract Inflammatory pathways are implicated in depression, but the specific immune proteins and causal variants involved remain unclear. This study investigated potential causal relationships between 91 immune-related plasma proteins and depression using generalized summary Men...

Sleep as a window into thalamocortical pathology: generative modeling implicates NMDA receptor hypofunction in 22q11.2 deletion syndrome

Abstract 22q11.2 deletion syndrome (22q11.2DS) is a strong genetic risk factor for neuropsychiatric conditions, including schizophrenia, yet the underlying synaptic mechanisms remain unclear. Sleep EEG suggests thalamocortical dysfunction, but scalp data alone lack mechanistic re...

Breaking Step: A Mixed Methods Exploration of Barriers and Facilitators to Male Participation in Irish Dance

Irish dancing (ID) is widely practiced internationally, but like many Western genres, struggles to attract and retain male participants. This mixed-methods study collected data about the lived experiences of current and former male Irish dancers via 109 questionnaires and 17 focu...

Fast and Scalable Air Quality Neural Emulator for High‐Resolution Predictions on Very Large Domains

Abstract This research explores the development and implementation of SIRANet, an advanced deep learning‐based emulator designed for fine‐scale air quality modeling. Leveraging the computational efficiency of neural networks, SIRANet builds upon the established SIRANE atmospheric...

A novel framework for quantifying the clinical impact of substandard and falsified antimicrobials: Application to typhoid fever

Substandard and falsified (SF) medicines are a neglected public health threat, with an estimated 7% of antimicrobials in low- and middle-income countries being SF. However, quantifying their clinical impact remains challenging. We developed a general framework for estimating popu...

Collusion through Common Leadership

This paper studies whether common leadership, defined as two firms sharing executives or board directors, contributes to collusion. Using an explicit measure of labor market collusion from unsealed court evidence, we find that the probability of collusion between two firms increa...

Pan genome clustering identifies a novel mosaic prophage specific to Salmonella Enteritidis lineage associated with the invasive disease in India

Abstract Salmonella enterica serovar Enteritidis is a leading cause of bloodstream infections (BSIs), particularly in sub-Saharan Africa (sSA). While typhoidal salmonellosis is well documented in South Asia, the burden and genomic characteristics of non-typhoidal Salmonella (NTS)...

Zero-shot inverse imaging with auto-tuned hyperparameters and untrained generative priors

Inverse imaging aims to reconstruct underlying images from noisy and corrupted observations. Conventional model-based methods heavily rely on prior informatioand hyperparameter tuning, while recent deep learning-based methods inherently require large training datasets. This study...

Causal Effects of Lipoproteins and Lipids on Atrial Fibrillation: A Mendelian Randomization Study

ABSTRACT Background and AimsThe relationship between blood lipids and atrial fibrillation (AF) remains unclear. Nuclear magnetic resonance (NMR) spectroscopy enables the profiling of size‐defined lipoproteins and their contained lipid components. This study aimed to analyze the g...

Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data

Accurate turning movement counts (TMCs) at intersections are crucial for traffic signal control, congestion mitigation, and road safety. Recent advancements in machine learning and data-driven approaches have offered promising alternatives for estimating TMCs. However, traffic pa...

The Effect of Placental Mesenchymal Stem Cells on The Protection of Chronic Renal Failure: The Role of Adiponectin

Abstract Purpose Chronic glomerular and tubulointerstitial fibrosis is the leading cause of end-stage renal failure. Mesenchymal stem cell therapy shows great potential for kidney tissue regeneration. The use of measurable biomarkers is crucial for assessing the therapeutic effec...

Multi-Frequency Oscillation Estimates Arising in Pointwise Ergodic Theory

Abstract We prove essentially optimal $$L^p(\mathbb {R})$$ L p ( R ) -estimates for variational variants of the maximal Fourier multiplier operators considered by Bourgain in his work on pointwise convergence of polynomial ergodic averages. As a corollary of our methods, we are a...

Generative Distribution Prediction: A Unified Approach to Multimodal Learning

Abstract Accurate prediction for multimodal data—including tabular, textual, and visual inputs or outputs—is essential for advancing analytics across diverse application domains. Existing methods often struggle to integrate heterogeneous data types while maintaining strong predic...