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Ullrika Sahlin

Senior lecturer Contact details Email: ullrika [dot] sahlin [at] mgeo [dot] lu [dot] seOrganisation Department of Earth and Environmental Sciences (MGeo) Service point: 16 WebpageUllrika Sahlins profile in Lund University research portalOther affiliations Member of Strategic Research Area BECC: Biodiversity and Ecosystem services in a Changing Climate Member of Strategic Research Area MERGE: ModEl

https://www.cec.lu.se/ullrika-sahlin - 2026-05-27

Association of Pathogenic/Likely Pathogenic Genetic Variants for Cardiomyopathies With Clinical Outcomes : A Multiancestry Analysis in the All of Us Research Program

BACKGROUND: This study aimed to evaluate the prevalence of pathogenic/likely pathogenic cardiomyopathy variant carriers in a multiancestry US population and examine the risk of adverse clinical outcomes. METHODS: This retrospective cohort study included multiancestry US adults aged ≥18 years with sequencing data from the All of Us Research Program. Pathogenic/likely pathogenic variants in cardiomy

Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy

Dilated cardiomyopathy (DCM) is a leading cause of heart failure and cardiac transplantation. We report a genome-wide association study and multi-trait analysis of DCM (14,256 cases) and three left ventricular traits (36,203 UK Biobank participants). We identified 80 genomic risk loci and prioritized 62 putative effector genes, including several with rare variant DCM associations (MAP3K7, NEDD4L a

Sparse optimization of two-dimensional terahertz spectroscopy

Two-dimensional terahertz spectroscopy (2DTS) is a low-frequency analog of two-dimensional optical spectroscopy that is rapidly maturing as a probe of a wide variety of condensed matter systems. However, a persistent problem with 2DTS is the long experimental acquisition times, which prevent its broader adoption. A potential solution, requiring no increase in experimental complexity, is signal rec

Co-adsorption of p-mercaptobenzoic acid on silver nanoparticles enhances the plasmon-mediated coupling reaction of p-ethynylaniline

The enhancement of the electromagnetic field elicited by localized surface plasmon resonance (LSPR) is conducive to the generation of charge carriers, which have an important effect in driving many kinds of chemical reactions. Nonetheless, the short lifespan of charge carriers generated by plasmon (typically femtoseconds to nanoseconds) limits their effectiveness in promoting chemical reactions. H

Anatomically informed deep learning framework for generating fast, low-dose synthetic CBCT for prostate radiotherapy

Precise patient positioning and daily anatomical verification are crucial in external beam radiotherapy to ensure accurate dose delivery and minimize harm to healthy tissues. However, Current image-guided radiotherapy techniques struggle to balance high-quality volumetric anatomical visualization and rapid low-dose imaging. Addressing this, reconstructing volumetric images from ultra-sparse X-ray

Predictability-Aware Motion Prediction for Edge XR via High-Order Error-State Kalman Filtering

As 6G networks evolve, offloading extended reality (XR) applications emerges as a key use case, leveraging reduced latency and edge processing to migrate computationally intensive tasks, such as rendering, from user devices to the network. This enables lower battery consumption and smaller device form factors in cellular environments.However, offloading incurs delays from network transmission and

AI-Enhanced High-Resolution Functional Imaging Reveals Trap States and Charge Carrier Recombination Pathways in Perovskite

Understanding and managing charge carrier recombination dynamics is crucial for optimizing the performance of metal halide perovskite optoelectronic devices. In this work, we introduce a machine learning-assisted intensity-modulated two-photon photoluminescence microscopy approach for quantitatively mapping recombination processes in MAPbBr3 perovskite microcrystalline films at micrometer-scale re

Low-latency D-MIMO Localization using distributed scalable message-passing algorithm

Distributed MIMO and integrated sensing and communication are expected to be key technologies in future wireless systems, enabling reliable, low-latency communication and accurate localization. Dedicated localization solutions must support distributed architecture, provide scalability across different system configurations and meet strict latency requirements. We present a scalable message-passing

Dual conformational emission and vibrational coherence in a sulfone-embedded narrowband emitter

Organic luminescent narrowband emitters have emerged as promising candidates for wide-color-gamut displays. However, the comprehensive photo-induced structural and vibrational dynamics responsible for the spectral broadening remain poorly understood. In this study, ultrafast spectroscopy is employed to elucidate the excited state dynamics of a sulfone-embedded narrowband emitter, 2tCPD. An intrins

Theoretical investigation on enhancing the performance of dye-sensitized solar cells via system co-sensitization and extension of the π-bridge length

System co-sensitization and extension of the π-conjugated system are recognized as two key strategies for improving the performance of dye-sensitized solar cells (DSSCs). In this study, density functional theory (DFT) was employed to simulate two experimentally synthesized molecules, RK1 and D205, and to evaluate the performance of their co-sensitization system. Furthermore, molecular design was c

Gold impurity concentration in vapor-liquid-solid grown GaAs nanowires

Gold particles are commonly used as catalysts in the vapor-liquid-solid (VLS) growth of GaAs nanowires, but the incorporation of gold into the nanowires can negatively affect their electronic and optical properties. In this work, we investigate the equilibrium concentration of Au in GaAs nanowires using density functional theory calculations combined with thermodynamically assessed chemical potent

Study on the Influence of External Electric Field Control and Vibrational Quantum Effect on the Charge Separation Mechanism in Fullerene-Based Systems

Based on the DCV-C60 system of fullerene acceptor organic solar cell active materials, the charge transfer process of D-A type molecular materials under the action of an external electric field (Fext) was explored. Within the range of electric field application, the excited state characteristics exhibit certain regular changes. Based on reducing the excitation energy, the excitation mode shows a t

EzSkiROS : enhancing robot skill composition with embedded DSL for early error detection

When developing general-purpose robot software components, we often lack complete knowledge of the specific contexts in which they will be executed. This limits our ability to make predictions, including our ability to detect program bugs statically. Since running a robot is an expensive task, finding errors at runtime can prolong the debugging loop or even cause safety hazards. This paper propose

Coherent Phonons, Localization, and Slow Polaron Formation in Lead-Free Gold Perovskite

Lead-free metal halide perovskites are emerging as less-toxic alternatives to their lead-based counterparts. However, their applicability in optoelectronic devices is limited, and the charge transport dynamics remain poorly understood. Understanding photo-induced charge and structural dynamics is critical for unlocking the potential of these novel systems. In this work, ultrafast optical and Raman

Performance of a point-of-care ultrasound platform for artificial intelligence-enabled assessment of pulmonary B-lines

Background: The incorporation of artificial intelligence (AI) into point-of-care ultrasound (POCUS) platforms has rapidly increased. The number of B-lines present on lung ultrasound (LUS) serve as a useful tool for the assessment of pulmonary congestion. Interpretation, however, requires experience and therefore AI automation has been pursued. This study aimed to test the agreement between the AI

Theoretical study of novel D-A-π-A-π-A conjugated organic dye sensitizers : impact of alkyl chain and electron-withdrawing functional groups substitution

The influence of alkyl chain on the physical and photochemical properties of D-A-π-A-π-A sensitizers (GZ-121 and GZ-124) for dye-sensitized solar cells (DSSCs) was investigated through density functional theory (DFT). Key aspects examined include geometry, optical characteristic, electron injection, intramolecular charge transfer, and dye regeneration. Adsorption models of dye@TiO2, short-circuit

Machine Learning Regression Analyses of Intensity Modulation Two-Photon Microscopy (ml-IM2PM) in Perovskite Microcrystals

Perovskite thin films hold great promise for optoelectronic applications, such as solar cells and light-emitting diodes. One challenge is the inevitable formation of defects in the material. A thorough understanding of the defect formation and its dynamics has proven difficult based on traditional spectroscopy. Here, we have integrated functional intensity modulation two-photon spectroscopy with a

Two-dimensional electronic spectroscopy

Two-dimensional electronic spectroscopy (2DES) is a popular technique that can track ultrafast coherent and incoherent processes in real time. Since its development in the late 1990s, 2DES has become a powerful tool for investigating ultrafast dynamics in a range of systems, including nanomaterials and optoelectronic devices. This Primer explains the underlying physical principles of 2DES and how

Carrier Cooling in Lead Halide Perovskites : A Perspective on Hot Carrier Solar Cells

The concept of hot carrier solar cells (HCSCs) has been proposed as a promising yet elusive path toward high-performance photovoltaics (PV), capable of surpassing the Shockley-Queisser limit by recycling energy that would otherwise be lost during thermalization. Lead halide perovskites (LHPs) have emerged as highly promising materials for PV applications. The reports of slow hot carrier (HC) cooli