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Allt eftersom vår förståelse om vår egen miljöpåverkan förändras, så förändras också begräns- ningsstrategierna vi använder för att förhindra och motverka dem. En viktig källa till antropo- gena utsläpp är avloppsvatten eftersom det innehåller patogener, näringsämnen, och mikroför- oreningar. Ett skifte mot källsorterat avloppsvatten under de senaste åren har öppnat dörren för att anpassa och fokuAs our understanding of the impact humans have on the environment changes, so too do the mitigation strategies we employ to prevent it. One major source of anthropogenic pollution is wastewater effluent. A shift towards source separation of wastewater into different streams in recent years has opened a door to tailor treatment to specific types of water. The largest propor- tion of domestic wastew

This paper investigates the firm and transaction characteristics of PIPE issuers. Whereas previous empirical studies have been focused on the U.S. market, this paper focuses on the characteristics of the European market and also examines the importance of PIPEs as a source of financing and the impact of the institutional settings in key European countries. My findings show that many PIPE issuers a

Trellis quantization is a finite state machine based method for data compression. It is mainly applied to quantizing noise-like sources. In this thesis new trellis codes suitable for low rate quantization are derived. Rate-distortion theory predicts source coding performance, but unfortunately provides only limited insight in how to construct good codes. In general, good trellis source codes combi

Carefully selecting the source data is crucial to achieve high performance of transfer learning methods for brain–computer interfaces (BCIs). Especially so in settings where a large amount of source data is available, and finding the optimal source is not computationally feasible. This paper presents a novel method for source selection, the so-called Transfer Performance Predictor (TPP) method. Th

Pretrained language models are integral part of AI applications, but their high computational cost for training limits accessibility. Initiatives such as Bloom and StarCoder aim to democratize access to pretrained models for collaborative community development. Despite these efforts, such models encounter challenges such as limited multilingual capabilities, risks of catastrophic forgetting during

Quinoa stalks glucuronoarabinoxylan (QSGAX) has been extracted by alkali and further utilized for production of two-types of xylooligosaccharides (XOs): i) enzymatically produced glucuronosylated-XOs (GXOs), and ii) a dilute acid produced mixture of non-substituted/substituted XOs of different degree of polymerization (DP). The respective mixtures were then separately evaluated as prebiotics by an

After electrophoresis of an alkaline extract of type 15 group A streptococci, three main precipitation lines were obtained in diffusion experiments against commercial human polyclonal IgG (lines 1, 2 and 3). Nineteen of 23 sera (83%) from apparently healthy human individuals gave line 3, while 6 of them (26%) gave line 1. The sera giving line 1 did also give line 3. Line 2 was obtained with 2 sera