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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

When designing novel technology, many of the important design decisions tend to be taken early in the process, which is also when it is usually easier to modify the design. Thus, it is important to learn as much as possible, as early as possible in any design process. This work is carried out within the EU project ABILITY, which aims at developing novel refreshable tactile displays. Previously, we

The 2022 edition of Lund Architecture Symposium (LAS22) will engage in (re)activating architectures. During recent years, architecture has frequently been used to communicate the ramifications of contemporary life and culture. Rarer is the communication of architecture’s role within these ramifications. Responding to this dilemma, this symposium will explore architecture that takes a much more act

District heating networks are an integral part of the energy system in many countries. In future smart energy systems, they are expected to enhance energy flexibility and support the integration of renewable and waste energy sources. An important aspect of these networks is the control of flow rates, which dictates the heat delivered to consumers. This paper concerns the properties of flow rates i

Construction robot prototype for onsite work. Consists of an ABB IRB4600 mounted on a spindle crane chassi for mobility. Housed in a container for weather protection and logistics.

In an era of global migration, where public discourse often assumes that migrants lack exposure to and command of local majority language(s), it is a crucial research task to understand how migrants learn and use new languages in their everyday lives. This study provides empirical evidence about the quantity and nature of everyday language exposure and use (LEU) among migrants in Sweden. Using the

In this paper, we introduce a generalized dynamical unbalanced optimal transport framework by incorporating limited control input and mass dissipation, addressing limitations in conventional optimal transport for control applications. We derive a convex dual of the problem using dual optimal control techniques developed before and during the 1990s, transforming the non-convex optimization into a m

Testing of autonomous driving systems (ADS) is a crucial, yet complex task that requires different approaches to ensure the safety and reliability of the system in various driving scenarios. Currently, there is a lack of understanding of the industry practices for testing such systems, and also the related challenges. To this end, we conduct a secondary analysis of our previous exploratory study,

We describe and demonstrate our work on multimodal filtered vector search in tabular data. It offers a practical way for businesses to vectorize their product assortments or any other business-critical data and then simultaneously retrieve and filter this information using state-of-the-art similarity search. Our methodology is based on the extended vector space model, with multiple modalities repr

In the last few decades, atmospheric formation of secondary organic aerosols (SOA) has gained increasing attention due to their impact on air quality and climate. However, methods to predict their abundance are mainly empirical and may fail under real atmospheric conditions. In this work, a close-to-mechanistic approach allowing SOA quantification is presented, with a focus on a chain-like chemica

Testing autonomous driving systems for safety and reliability is essential, yet complex. A primary challenge is identifying relevant test scenarios, especially the critical ones that may expose hazards or harm to autonomous vehicles and other road users. Although numerous approaches and tools for critical scenario identification are proposed, the industry practices for selection, implementation, a

Detecting failures early in cloud-based software systems is highly significant as it can reduce operational costs, enhance service reliability, and improve user experience. Many existing approaches include anomaly detection in metrics or a blend of metric and log features. However, such approaches tend to be very complex and hardly explainable, and consequently non-trivial for implementation and e

Businesses across different areas of interest are increasingly depending on data, particularly for machine learning (ML) applications. To ensure data provisioning, inter-organizational data sharing is proposed, e.g. in the form of data ecosystems. The aim of this study was to perform an exploratory investigation into the data sharing practices that exist in business-to-business (B2B) and business-

Background: Participants in epidemiological cohorts may not be representative of the full invited population, limiting the generalizability of prevalence and incidence estimates. We propose that this problem can be remedied by exploiting data on baseline participants who refused to participate in a re-examination, as such participants may be more similar to baseline non-participants than what base

Across cultures and languages spontaneous speech is often accompanied bygestures. It is a popular belief that people in Italy gesture more than peoplein Northern Europe, such as in Sweden. Despite this general assumption fewstudies empirically investigate cultural differences in gesture frequency andgesture function under similar circumstances. This study compares the spokenand gestural behaviours

Despite various preventive interventions, nosocomial cross-infection remains a significant challenge in healthcare facilities worldwide. Consequently, prolonged hospitalization, elevated healthcare costs, and mortality rates are major concerns. Proper ventilation has been identified as one of the possible interventions for reducing the risk of cross-infection between patients and healthcare worker

This bookThis book has become the leading source for empirical software engineering research through its earlier editions. It provides an in-depth introduction to experimentation in software engineering. The focus is on the steps to go through to conduct an experiment. It also introduces a structure for selecting a research design and an introduction to systematic literature reviews, surveys, and

Perovskite-silicon tandem solar cells are a promising concept for overcoming the limits of conventional silicon single-junction technology. Light management is doubtless a key issue for further boosting efficiency. We discuss the impact of photonic nanostructures on the optical performance of perovskite-silicon devices. We experimentally and numerically demonstrate shallow antireflective nanotextu