Research works

Coordinated Nonlinear Model Predictive Control for a distributed thermoelectric-based battery thermal management system

Electric vehicles (EVs) rely on lithium-ion batteries that require sophisticated battery thermal management systems (BTMS) to maintain safety, performance, and longevity. A critical challenge is mitigating cell-to-cell temperature variations, which accelerate non-uniform ageing a...

Using wavelet domain fingerprints to improve source camera identification

Camera fingerprint detection plays a crucial role in source identification and image forensics, with wavelet denoising approaches proving to be particularly effective in extracting sensor pattern noise (SPN). In this article, we propose a modification to wavelet-based SPN extract...

Quantum quenches from the critical point: theory and experimental validation in a trapped-ion quantum simulator

Abstract We investigate quantum quenches starting from a critical point and experimentally probe the associated defect statistics using a trapped-ion quantum simulator of the transverse-field Ising model. The cumulants of the defect number distribution exhibit universal scaling w...

Dynamic modulation of long-range photon-magnon coupling

Abstract Evidence of non-Hermitian behaviour has been recently demonstrated in cavity magnonics, including the emergence of mode level attraction and exceptional points in spectroscopic measurements. This work demonstrates experimental evidence of time-domain dynamics of magnon-p...

Strategies to optimize antimicrobial use and control antimicrobial resistance: an evidence-informed policy process

Abstract Background Antimicrobial resistance (AMR) is a public health priority in Colombia and worldwide, with implications for human, animal, and environmental health. This study presents an evidence-informed policy process designed to support the Colombian Ministry of Health (C...

A Survey on Centrality and Importance Measures in Hypergraphs: Categorization and Empirical Insights

Identifying central entities and interactions is a fundamental problem in network science. While well-studied for graphs (pairwise relations), many biological and social systems exhibit higher-order interactions best modeled by hypergraphs. This has led to a proliferation of spec...

Does scientific writing converge to U.S. english? evidence from generative AI-assisted publications

Abstract A growing literature documents that generative artificial intelligence (GenAI) is changing scientific writing. Much of this literature, however, focuses on absolute changes in vocabulary or readability. An important question remains unanswered: Does GenAI use lead to sys...

What Needs Attention? Prioritizing Drivers of Developers’ Trust and Adoption of Generative AI

Generative AI (genAI) tools promise productivity gains, yet developers still struggle to determine when to trust and effectively integrate these tools into their everyday work. Moreover, genAI can be exclusionary, failing to adequately support developers across individual differe...

Enhancing communication in screen-exposed children: role of behavioral intervention: a preliminary study conducted in a hospital setting in India

Abstract Objectives This study assessed the effectiveness of behavioural interventions in reducing screen time and enhancing parent-child interaction to improve communication in children aged 18 to 60 months. Methods observational and crosse-sectional was designed in this study....

Large scale retrieval for the LinkedIn feed using causal language models

Abstract In large‐scale recommendation systems like LinkedIn's, the retrieval stage is critical for narrowing billions of potential candidates to a manageable subset for ranking. LinkedIn's feed now serves suggested content based on the topical interests of members, where 2000 ca...

Momentum-based access and speed control for improved safety in heterogeneous road networks

The increasing variety of means of transportation, including light vehicles like e-scooters and e-bikes, together with the increasing weight of conventional vehicles due to electrification and consumer preferences for SUVs, are raising serious concerns regarding the safety of roa...

Structure-guided allosteric modulation of the delta opioid receptor

Abstract Opioid analgesics remain essential for pain management but are associated with significant adverse effects, including respiratory depression, tolerance, and dependence. The δ-opioid receptor (δOR) represents a promising therapeutic target for developing safer opioid anal...

Picard groups of quotient ring spectra

Abstract We develop tools to study Picard groups of quotients of ring spectra by a finitely generated ideal, which we use to show that , where is a Lubin–Tate theory and is an ideal generated by suitable powers of a regular sequence. We apply this to obtain spectral sequences com...

Tracheal tuft cell-released leukotrienes promote antibacterial immune responses

SUMMARY Tuft cells act as crucial sentinels in the airways that detect bacterial metabolites. In response, tuft cells release signaling molecules that trigger immune responses essential for clearing the infection. The molecular mechanisms driving immune cell activation following...

Circulating lipids are associated with PTSD severity and predict symptomatic PTSD in a cohort of veterans and service members

Abstract Post-traumatic stress disorder (PTSD) is characterized by chronic stress, alterations in mood, and avoidance after a traumatic event has occurred. While recovery can occur, many PTSD patients suffer life-long impairments. In combat veterans, high rates of PTSD contribute...

Balancing efficiency and equity in classroom assignment under endogenous peer effects

This paper presents a three-step empirical framework for optimizing classroom assignments under endogenous peer effects, using data from the China Education Panel Survey (CEPS). We design \textit{PeerNN}, a neural network that mimics endogenous network formation as a discrete cho...

Self-organizing map–derived regimes as a basis for basin-integrated diagnostics of Baltic Sea hydrographic change (1993–2023)

Abstract The Baltic Sea has experienced significant hydrographic changes over the past three decades, including long-term warming, increasing salinity, and intensified vertical stratification. While these trends are well established, their internal structure and temporal evolutio...

Do they care? An analysis of stakeholder perspectives on sustainability in luxury sailing yachts

This paper presents a thorough investigation of the notion of sustainability within the specific market sector of luxury sailing yachts. The study explores the various ways in which this concept is perceived, evaluated and operationalised. It examines the relationship between env...

Data-centric training enables meaningful interaction learning in protein-ligand binding affinity prediction

Predicting protein–ligand binding affinity remains a fundamental challenge in drug discovery, where deep learning models have become central. However, these models often struggle with protein and ligand biases, and their generalization to unseen targets remains limited. Here, we...

Age at Autism Diagnosis in the Norwegian Mother, Father, and Child Cohort Study (MoBa): Exploring the Association With Family Well-Being

For many autistic individuals, close family members represent a crucial source of support throughout their lifetime. Early autism diagnosis is thought to benefit both autistic individuals and their family members by facilitating early access to services and information. However,...