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Most recent programming languages, such as Java, Python and Ruby, include a collection framework as part of their standard library (or runtime). The Java Collection Framework provides a number of collection classes, some of which implement the same abstract data type, making them interchangeable. Developers can therefore choose between several functionally equivalent options. Since collections hav

First Person Singer

Ett projekt inom ArtCollab The First Person Singer (FPS) project aims to experimentally create prerequisites for a new operatic format offering the audience first-person perspectives from individual characters through personalized streaming. By equipping opera singers with body cameras and microphones, the project allows beholders to experience the plot through the eyes and voices of individual pe

https://www.thm.lu.se/first-person-singer - 2026-07-23

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Antonymy and negation are phenomena that can be studied from many perspectives. In the literature, antonymy is recognized as the most robust of the lexico-semantic relations, important to both the mental organization of the vocabulary and the organization of coherent discourse (Cruse 1986, Fellbaum 1998, Murphy 2003, Willners 2001 and Jones 2002). "Depending on whom you ask, negation may be a logi

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Aquatic organisms are constantly at risk of being exposed to potentially harmful chemical compounds of natural or anthropogenic origin. Biological life can for instance respond to chemical stressors by changes in gene expression, and thus, certain gene transcripts can potentially function as biomarkers, i.e. early warnings, of toxicity and chemical stress. A major challenge for biomarker applicatiAquatic organisms are constantly at risk of being exposed to potentially harmful chemical compounds of natural or anthropogenic origin. Biological life can for instance respond to chemical stressors by changes in gene expression, and thus, certain gene transcripts can potentially function as biomarkers, i.e. early warnings, of toxicity and chemical stress. A major challenge for biomarker applicati

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The treatise is concerned with the source-—the “Grund”--of the bindingness of law. I contend, first, that the “presupposition” of the basic norm, on a certain reading of Kelsen’s doctrine, can be understood as constituting a normative source of positive law, and, secondly, that this reading of Kelsen admits of addressing the issue of the (formal) legitimacy of supra-national and “directly applicab

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Purpose: The purpose of this thesis is to increase the effectiveness of the case company, Alfa Laval’s, inventory management by finding challenges, opportunities, and gaps within its current inventory management practices. Background: An essential part of an organization’s planning and control is inventory management, which helps manage supply and demand uncertainty as well as mismatches in upst

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A Large Intelligent Surface (LIS) is a recently proposed concept, especially suitable for high speed indoor communications and industrial internet of things (IoT) applications. Basing the LIS on smaller panels has clear advantages in terms of flexibility and mass production of its elements. In this paper we consider a panel-based LIS and we study the interplay of the panel size, the number of base

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Motivation: The requirements engineering (RE) research community is aware of the importance of performing feasibility studies before starting requirements elicitation. Unfortunately, projects still frequently fail to achieve commercial success, responsibility is often unknown, and requirements engineers may be deemed responsible for mistakes made by others. Problem: There is neither empirical evid

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As the demand for connectivity and infotainment services increases in the automotive world, the need to measure and characterize the propagation channels inside vehicles also increases. In this work, a measurement study was performed to investigate the influence of RF cables on in-vehicle channels. It was found that, for the same transmit and receive antenna positions, the routing of the measureme

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In Space Division Multiple Access (SDMA) systems, users are separated based on their positions. The base-station (BS) signals typically reach the users through multipath clusters. The goal of this work is to find the probability that a randomly selected user will receive the signal from the BS via at least one nonshared (by any other user) multipath cluster. This probability, referred to as PSucce

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Design for fire safety may be carried out by two generic approaches - a set of prescriptive rules or by a performance-based approach where analytical tools are used to verify fire safety towards a set of functional requirements and performance criteria given by the building code. Normally, these two methods are mixed when design fire safety within a building. The option to apply fire safety engine

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The aim of this article is to reflect on the evolution of total quality management (TQM) as the most widespread quality management approach during the last 25 years. However, during the first 10 years of the new millennium, the term TQM seems to have lost its attractiveness in Western parts of the world and instead new terms such as Business Excellence, Organisational Excellence, Six Sigma, and Le

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Purpose: To investigate how consumers understand free services on the Internet. Theories: The research is primarily based upon theories of gift giving. Methodology and analysis: The Internet is not a tangible marketplace and in order to understand the value of the free services online, we used consumers' behavioral accounts to explain how they perceive the free services that are common online.

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Families of generalized spatially-coupled low-density parity-check (GSC-LDPC) code ensembles can be formed by terminating protograph-based generalized LDPC convolutional (GLDPCC) codes. It has previously been shown that ensembles of GSC-LDPC codes constructed from a protograph have better iterative decoding thresholds than their block code counterparts, and that, for large termination lengths, the

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Time constants in spiking neural networks (SNNs) are crucial for determining performance. While prior work shows that learning time constants can improve accuracy, it typically assumes near-optimal initial values and rarely examines recovery from poor initializations. We systematically study how membrane and synaptic time constants affect SNN performance using multiple training strategies. Our res

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The Learning with Errors (LWE) problem receives much attention in cryptography, mainly due to its fundamental significance in post-quantum cryptography. Among its solving algorithms, the Blum-Kalai-Wasserman (BKW) algorithm, originally proposed for solving the Learning Parity with Noise (LPN) problem, performs well, especially for certain parameter settings with cryptographic importance. The BKW a