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Dion–Jacobson (DJ) type 2D perovskites with a single organic cation layer exhibit a narrower distance between two adjacent inorganic layers compared to the corresponding Ruddlesden–Popper perovskites, which facilitates interlayer charge transport. However, the internal crystal structures in 2D DJ perovskites remain elusive. Herein, in a p-xylylenediamine (PDMA)-based DJ perovskite bearing bifuncti

This chapter contains an outline of the Swedish social security system with a focus on sickness benefits in the social security and unemployment insurance. The Swedish legislator’s ambition has been to create parity between different forms of employment as well as between those who are self-employed and those who operate in different company structures. Legislative amendments in this area have mai

A common molecular design paradigm for optical power limiting (OPL) applications is to introduce heavy atoms that promote intersystem crossing and triplet excited states. In order to investigate this effect, three multi-branched fluorene molecules were prepared where the central moiety was either an organic benzene unit, para-dibromobenzene, or a platinum(II)-alkynyl unit. All three molecules show

Lead-free halide double perovskites have gathered wide scientific interest since they are environmentally friendly and stable. However, compared to the lead perovskites, their optoelectronic properties are compromised. Herein we report a series of bulk lead-free mixed Bi-In halide double perovskites: Cs2AgBi1−xInxCl6 (0

In this work, we explored the photoinduced charge carriers dynamics rationalizing the photocatalytic oxidation of NO over N-doped Bi2O2CO3/graphene quantum dots composites(N-BOC/GQDs) via time-resolved photoluminescence (TRPL). Under visible light illumination, only GQDs can be photoexcited and inject electrons to N-BOC within 0.5 ns. Under UV light irradiation, the interfacial Z-scheme heterojunc

The gain and loss of aromaticity plays a key role in organic chemistry and in the prediction of rate‐determining steps. Herein, we explore the concept of aromaticity in photoisomerization reactions. Benzannulated derivatives of the dihydroazulene‐vinylheptafulvene (DHA‐VHF) photoswitch were investigated using transient absorption spectroscopy and time‐dependent density functional theory to elucida

Colloidal all-inorganic perovskite nanocrystals have gained significant attention as a promising material for both fundamental and applied research due to their excellent emission properties. However, reported photoluminescence quantum yields (PL QYs) of blue-emitting perovskite nanocrystals are rather low, mostly due to the fact that the high energy excitons for such wide bandgap materials are e

Bread dough was studied in relation to three Andean grain flours, quinoa (Chenopodium quinoa), amaranth (Amaranthus caudatus) and canahua (Chenopodium pallidicaule), as partial replacements for wheat flour with the perspectives of dough and breadmaking. This thesis deals with the understanding of both dough as a complex system, consisting of various water-filled polymers, and dough as a viscoelast

Background: Neuropathological studies have linked tau aggregates to neuronal loss. To describe the spatial distribution of neurofibrillary tangle pathology in post-mortem tissue, Braak staging has been used. The aim of this study was to examine in vivo associations between tau pathology, quantified with [18F]flortaucipir PET in regions corresponding to Braak stages, and atrophy across the Alzheime

Background: Myocardium at risk (MaR) can be evaluated by cardiovascular magnetic resonance (CMR) imaging using contrast-enhanced steady state free precession (CE-SSFP) in patients after ST-elevation myocardial infarction (STEMI). However, CE-SSFP utilizes gadolinium contrast, which is contraindicated in patients with severe renal insufficiency. Native T1-mapping is a non-contrast CMR method which

Background: SARS-CoV-2 remains globally circulating, yet post-pandemic comprehensive molecular, serological, and population-level immunity data from low-resource settings such as Ethiopia are limited. This study employed genomic surveillance with seroepidemiological assessment to characterize the epidemiology of SARS-CoV-2 among individuals presenting with influenza-like illness (ILI) and severe a

This paper presents NMCu-CNN, a near-memory computing (NMC) co-processor for the hardware acceleration of convolutional neural networks (CNNs) on a low-power, flexible MCU platform. The scalable architecture and the selected platform enable adaptability to the rapidly evolving Edge AIoT landscape, where energy and performance requirements are constrained. Application-tailored NMC units, equipped w

With the growing need to process large volumes of data, edge computing near data collection sources has become increasingly important. However, the resource constraints of edge devices require more efficient data processing techniques. Near-memory computing (NMC) presents an efficient solution, especially for data-intensive applications, by enabling processing that is both energy-efficient and har

A multi-variable adaptive controller is derived as the explicit solution to a minimax dynamic game. The minimizing player selects the control action as a function of past state measurements and inputs. The maximizing player selects disturbances and model parameters for the underlying linear time-invariant dynamics. This leads to a Bellman equation that can be solved explicitly for the case with un

We introduce Thalassa, a framework designed to convert nonlinear systems of partial differential equations (PDEs) with a time-like component into tensor programs that solve these equations. These programs can run on GPUs as well as machine learning (ML) acceleration hardware, enabling scientific computing fields such as computational fluid dynamics, astrophysics, mechanics and biology to utilize a

https://www.lumes.lu.se/sites/lumes.lu.se/files/yengoh_genesis.pdf - 2026-05-30

Background and objective: Patients diagnosed with grade group (GG) 1 prostate cancer (PCa) following treatment for benign disease (“incidental” PCa) are typically managed with active surveillance (AS). It is not known how their outcomes compare with those observed in patients diagnosed with GG1 on biopsy. We aimed at determining whether long-term oncologic outcomes of AS for patients with GG1 PCa

Importance: This follow-up study of extremely preterm (EPT) children (<27 weeks' gestational age [GA] at birth) revealed major eye and visual problems in 37.9% (147 of 388) of all EPT infants and in 55.4% (67 of 121) of the most immature subgroups at 6.5 years of age. These major eye and visual problems were strongly associated with treatment-requiring retinopathy of prematurity (ROP).Objectives:

In order to avoid extensive machine learning models selection and optimizations, Automated Machine Learning (AutoML) has arisen as a practical and efficient way to apply machine learning to many different application areas. Data poisoning is a real threat to the accuracy of machine learning models in different settings, and it has in recent research studies been shown that the usage of AutoML can