A computer-assisted language learning software for mobile devices (MAC) is presented, that was aimed to helping speakers acquire speech contrasts not native to their own language. The software is based on the high variability phonetic training (HVPT) technique. An overview of the software is given, followed by results from an efficacy study. Two groups using slightly different variations of the MA

Research investigating the relationship between language and cognition (Lucy, 1992b) shows that speakers of languages with grammatical number marking (e.g. English) judge differences in the number of countable objects as more significant than differences in the number or amount of non-countable substances. On the other hand, speakers of languages which lack grammatical number marking (e.g. Yucatec

Abstract In this contribution, party autonomy is discussed in relation toEuropean family and succession law. The topic is briefly introduced, followedby a survey covering the main EU-instruments with particular emphasis onthe parties’ possibility to influence choice of court and law by agreements.Thus, autonomy as described in this contribution embraces both prorogationand choice of law. The contr

Ionin, Ko and Wexler (2004a) have shown that L2 speakers of English whose L1’s lack articles (Russian and Korean) appear to fluctuate in their interpretation of the and a, allowing them to encode either definiteness or specificity. They argue that these are two options of an Article Choice Parameter offered by Universal Grammar, and that the Russian and Korean speakers fluctuate between them when

This thesis presents a comprehensive powertrain optimization methodology that effectively captures the key design trade-offs impacting vehicle performance, both within individual components and across them. The method relies on detailed performance and cost models for all the powertrain components considered, including the electrical machine, power electronics converter, and mechanical transmissio

The global plastics industry is undergoing significant expansion, driven by record-scale infrastructure investments that are increasing fossil fuel demand. However, this growth has largely bypassed Europe, where mature markets, limited feedstock availability, and stringent environmental regulations prevail. Despite these constraints, in 2019 the petrochemical conglomerate INEOS announced plans for

The oldest and without a doubt one of the most versatile non-intrusive measurement approaches is the schlieren imaging technique. Although they have been used over a century for visualization of flow fields, they are associated with certain drawbacks. In this regard, background oriented schlieren (BOS) provides a unique opportunity to quantitatively characterize density varying flows which has a m

Framväxten av digitala plattformar håller för närvarande på att förändra hur kulturarbete förmedlas och utförs. Trots detta finns det en brist på forskning, inte minst i en svensk kontext, som studerar kulturarbete som ett typexempel på det som kommit att kallas gigarbete. Den här avhandlingen analyserar frilansande kulturarbetares erfarenheter av att navigera den digitala plattformsekonomin för aCultural industries are currently being transformed by processes of platformization and precarization. Despite being among the sectors where platformization has already had the most pronounced effects, there remains a lack of research on cultural work as a prototypical example of so-called gig work. This dissertation analyzes the working experiences of what I call digital freelancers — solo self-e

This dissertation investigates the intricate dynamics between international capital flows, banking instability, and central bank policies in Sweden from 1877 to 1939, providing insights into the connections between external monetary shocks and domestic financial stability. While international capital can drive economic growth, it also introduces significant risks, particularly for smaller, open ec

A significant surface wettability transition from hydrophobicity to hydrophilicity after long-term operation is observed in graphite bipolar plates of a proton exchange membrane fuel cell (PEMFC). Extensive in-situ electrochemical characterization was performed to investigate the impact of bipolar plate wettability on the performance and durability of two PEMFCs (named “New cell” and “Old cell”),

Machine learning models are used to help scientists analyze large amounts of data across all fields of science. These models become better with more data and larger models mainly through supervised learning. Both supervised learning and model validation benefit from annotated datasets where the annotations are of high quality. A key challenge is to annotate the amount of data that is needed to tra

We propose an adaptive change point detection method (A-CPD) for machine guided weak label annotation of audio recording segments. The goal is to maximize the amount of information gained about the temporal activations of the target sounds. For each unlabeled audio recording, we use a prediction model to derive a probability curve used to guide annotation. The prediction model is initially pre-tra