KTH Royal Institute of Technology

Changes in vocal fold contact across the voice field after injection laryngoplasty

Rationale: Unilateral vocal fold paralysis (UVFP) causes glottic insufficiency that varies in severity across the phonation range, yet treatment outcomes are typically evaluated through perceptual ratings or acoustic indices obtained at a single vocal effort level. This study use...

Last-Passage Percolation and Product-Matrix Ensembles

Abstract We introduce and study a model of directed last-passage percolation in planar layered environment. This environment is represented by an array of random exponential clocks arranged in blocks, for each block the average waiting times depend only on the local coordinates w...

Polaron conductivity in α-Fe2O3 quenched by adsorbed NO2

Polaron-mediated charge transport in α–Fe 2 O 3 plays a central role in its performance as a gas-sensing material, yet the atomistic interaction between surface adsorbates and polarons remains insufficiently understood. Here, density functional theory with Hubbard-U correction (D...

Exposure to remote work and probability of long-distance commuting: evidence from pandemic lockdowns

Abstract In this paper, we investigate how the lockdown-induced exposure to remote work affected the likelihood of switching to longer commutes using a longitudinal full-population register of Swedish employees. We find that employees with little experience of longer commutes wer...

How to improve the classification management of hospital medical waste at the source? A two-stage multi-agent simulation based on RFID real-time data streams

Background: At present, the business processes of hospital medical waste classification management are mainly completed by manual work. The related business procedures are complex, time-consuming, and laborious, the digitization level of classification business is low, and data c...

Several multiple sequence alignment-perturbing methods enhance AlphaFold3 sampling of alternative protein states

Abstract Protein function often involves multiple conformational states. Several multiple sequence alignment-perturbing strategies, including stochastic subsampling, clustering, and column masking, have been shown to enhance AlphaFold2 (AF2) sampling of alternative protein states...

Application of Machine Learning in Municipal Pavement Condition Predictions

Machine learning (ML) has increasingly become a vital tool for accurate pavement condition prediction, enabling more effective maintenance planning and resource allocation. This study applies the random forest (RF) algorithm to predict the pavement condition index ( PCI ) for 202...

Ultrafast laser-driven topological phase patterning

Microscopic and dynamic control over quantum states is essential for bridging fundamental studies of material properties to device function. Realizing such control at combined high spatial resolution and ultrafast temporal precision remains a major challenge. Here, we demonstrate...

Can Large Language Models Evaluate Grant Proposal Quality? Revisiting the Wennerås and Wold Peer Review Data

Abstract Purpose Despite the importance of peer review for grant funding decisions, academics are often reluctant to conduct it. This can lead to long delays between submission and the final decision as well as the risk of substandard reviews from busy or non-specialist scholars....

Identifying drug‐resistant epilepsy using Swedish National Patient Registry data

Abstract Background Approximately 30% of individuals with epilepsy are drug‐resistant, suffering low quality of life and should be evaluated for other treatment modalities. Drug‐resistant epilepsy has no specific diagnostic code, making identification in national healthcare regis...

Health co-benefits of sustainable dietary transitions to reduced red and processed meat intake in the United Kingdom: a modelling study

Abstract Purpose Reducing meat intake and increasing plant-based food consumption are priorities for chronic disease prevention and environmental sustainability across Europe. Previous modelling has outlined how policy interventions could shift dietary patterns to align with meat...

A novel multiomics machine learning signature identifies rapid progression in clinically low risk prostate cancer

Abstract Risk stratification in primary prostate cancer remains heavily reliant on clinicopathological criteria that frequently miss the heterogeneity underlying early aggressive disease. We present a novel machine learning non-linear prognostic framework encoding somatic copy-nu...

Study of Supernova Neutrinos at ESSnuSB

In this paper, we have studied the sensitivity of the ESSnuSB far detector to supernova neutrinos. ESSnuSB is a proposed long-baseline neutrino experiment in Sweden, which will use a 538 kt water Cherenkov detector to probe the leptonic phase δCP by studying the second oscillatio...

Coupling fiber cationization with hygroplasticization for 3D-formable cellulose-based materials

Thanks to their high availability, renewability, and degradability, paper-based materials are promising candidates for partial replacement of less sustainable fossil-based products. A disadvantage of conventional paper is, however, its low strainability and restricted shapeabilit...

Training to Protect Research Integrity in the Age of AI-assisted Coding

Poster presented at the 10th Research Software Engineering Conference (RSECon26) in Sheffield, UK, 9-11 September, 2026. Abstract The use of generative AI tools to generate source code or to augment a programmer's own code is ever more widespread in research software development....

Training to Protect Research Integrity in the Age of AI-assisted Coding

Poster presented at the 10th Research Software Engineering Conference (RSECon26) in Sheffield, UK, 9-11 September, 2026. Abstract The use of generative AI tools to generate source code or to augment a programmer's own code is ever more widespread in research software development....

Plasma membrane order maps functional diversity in immune cells

Abstract Cell membranes undergo biophysical remodeling as an adaptation to the surroundings and to perform specific biological functions. However, the extent and relevance of such changes in human immune cells remain unknown, largely because of the lack of single-cell and multidi...

Training to Protect Research Integrity in the Age of AI-assisted Coding

Poster presented at the 10th Research Software Engineering Conference (RSECon26) in Sheffield, UK, 9-11 September, 2026. Abstract The use of generative AI tools to generate source code or to augment a programmer's own code is ever more widespread in research software development....

Impact of fleet composition and road network on efficient use of larger and heavier trucks in forestry transport

Abstract Sustainable forestry is fundamental for the supply of raw materials for sustainable products such as wooden houses, packaging, and biofuels. Efficient transport is vital for sustainable forestry, as road transports of roundwood from the forest to recipient industries acc...

Spatio-temporal in vivo distribution of core-shell mesoporous silica nanoparticles by label-free X-ray fluorescence imaging

Mesoporous silica nanoparticles (MSNs) have emerged as versatile drug delivery systems with promising applications in diagnostics and therapy. However, structural heterogeneity among MSNs and limited spatio-temporal tracking capabilities have resulted in inconsistent in vivo data...