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Machine learning has acquired a lot of attention in the economic forecasting literature in recent years. In this thesis we forecast Swedish energy consumption and compare the forecasting performance of a machine learning technique with that of more traditional time series models. In fact, the LSTM neural network is compared with ARIMA and VAR forecasts. We conclude that in our setting, while these
The study focuses on the eco-design of sustainable packaging solutions for plant-based meat analogues, particularly plant-based burger patties. This is in response to the growing need for more sustainable dietary choices which can replace those of animal-based meat. Currently, most of the plant-based meat analog products in the market are packaged like meat products, which in turn are more sensiti
Title: “Language is access to everything” - A qualitative study of SFI-teachers' experience of the transition to digitalized distance education. Authors: Rania Elwan and Fitore Mehmeti Supervisor: Karin Kullberg Assessor: Maria Bergendal Arvidsson The purpose of the study is to investigate from teachers for Swedish for immigrants (SFI) perspective how the transition to digitalized distance ed
Microsoft Word - Lumes Thesis_Final version_BjörnW.doc Translation of Sustainability into Public Procurement Practices in Swedish Municipalities Björn Wickenberg LUMES, Lund University Phone: +46-703-129303 E-mail: bjorn.wickenberg@bredband.net Supervisor Karsten Åström (Professor) Sociology of Law Institute, Lund University Phone: +46-46-222 41 27 E-mail: Karsten.Astrom@soc.lu.se Lumes Master’s T
https://www.lumes.lu.se/sites/lumes.lu.se/files/wickenberg_bjorn.pdf - 2026-07-18
BEAST is a bidirectional efficient algorithm for searching trees. In this correspondence, BEAST is extended to maximum-likelihood (ML) decoding of block codes obtained via convolutional codes. First it is shown by simulations that the decoding complexity of BEAST is significantly less than that of the Viterbi algorithm. Then asymptotic upper bounds on the BEAST decoding complexity for three import
Senescence is characterized by a decline in survival, fecundity and reproductive value with age among adult individuals. Simple age-dependent life cycles progress forward through developmental stages, with each successive stage being characterized by age-specific vital rates. In contrast, size- or stage-based life cycles for perennial plants are more complex and often include stasis and retrogress
Collaboration between academia and industry is believed important for innovation: industry needs academic expertise and know-how and academics need empirical data, test beds and more. So what needs to be improved? A pilot study conducted for BillerudKorsnäs confirms findings in previous research: the main challenge to industry-academia collaboration is the lack of mutual understanding of each oth
An important goal for the building sector is to produce buildings with a minimum of environmental impact. Recycling can considerably reduce these impacts. An aim is therefore to produce new buildings with a minimum of environmental impact during their lifetime and with a high recycling potential. This paper presents a suggestion for assessing the recycling potential. The recycling potential can be
Purpose: To analyse characteristics from the SMR to explore the risk factors for visual acuity (VA) below ≤ 35 letters of the Early Treatment Diabetic Retinopathy Study (ETDRS) due to nAMD during a two-year follow-up. Methods: This study evaluates 6142 treatment-naïve eyes, with focus on a subgroup of 780 eyes with final VA outcome of ≤ 35 letters, regarding differences of baseline characteristics
The three basic paradigms of behaviour science, association, structure, and process, were used to anchor the simulation of new forms of social organization. These have been projected by means of a behaviour, a humanist, and a growth model. The Swedish model was also included as a possible point of reference. This article summarizes the results of two experiments, one on the assessment of quality o
Using shaped laser pulses, we increase the yield of ultrafast electron injection from the sensitizer to TiO2 nanocrystals in the core part of a dye-sensitized solar cell. The temporal structure of the optimized excitation pulse is in clear correlation with nuclear oscillations in the impulsively excited dye molecule. From DFT structure optimization and normal mode analyses we identified the modes
Background: Predicting future risk for oral diseases, treatment need and prognosis are tasks performed daily in clinical practice. A large variety of methods have been reported, ranging from clinical judgement or "gut feeling" or even patient interviewing, to complex assessments of combinations of known risk factors. In clinical practice, there is an ongoing continuous search for less complicated
