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Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Agriculture using Machine Learning

Optimising plant growth in a controlled climate requires good measurements of both biomass (measured in grams) and relative growth rate (measured in grams of growth per day and gram of plant). In order to do this efficiently and continuously on an individual level during plant development, this has to be done non-destructively and without frequent and labor intensive weighing of plant biomass. Thi

Six Major Steps to Make Investigations of Suicide Valuable for Learning and Prevention

Objective: The decline in suicide rates has leveled off in many countries during the last decade, suggesting that new interventions are needed in the work with suicide prevention. Learnings from investigations of suicide should contribute to the development of these new interventions. However, reviews of investigations have indicated that few new lessons have been learned. To be an effective tool,

Microarray profiling of hypothalamic gene expression changes in Huntington's disease mouse models

Structural changes and neuropathology in the hypothalamus have been suggested to contribute to the non-motor manifestations of Huntington's disease (HD), a neurodegenerative disorder caused by an expanded cytosine-adenine-guanine (CAG) repeat in the huntingtin (HTT) gene. In this study, we investigated whether hypothalamic HTT expression causes transcriptional changes. Hypothalamic RNA was isolate

Prototype Open Event Reconstruction Pipeline for the Cherenkov Telescope Array

The Cherenkov Telescope Array (CTA) is the next-generation gamma-ray observatory currently under construction. It will improve over the current generation of imaging atmospheric Cherenkov telescopes (IACTs) by a factor of five to ten in sensitivity and it will be able to observe the whole sky from a combination of two sites: a northern site in La Palma, Spain, and a southern one in Paranal, Chile.

Latest developments in sustainability reporting: How the TCFD framework shapes the understanding of climate risks

This thesis explores how the latest trends in sustainability reporting are shaping the understanding of climate-related risks. Having the Task Force on Climate-Related Financial Disclosures (TCFD) framework as a proxy, this thesis focuses on the double materiality perspective, namely on how new disclosures are related not only to organizational efforts in lowering emissions, but on disclosures bas

Computational Evidence Based Perspective on the Plausible Repositioning of Fluoroquinolones for COVID-19 Treatment

The coronavirus disease (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has become a serious global healthcare crisis, so there is an emergence of identifying efficacious therapeutic options. In a setting where there is an unavailability of definitive medication along with the constant eruption of vaccine-related controversies, the drug-repositioning appr

En kvalitativ studie om tjejers uppbrottsprocesser från en våldsam relation

The following study consists of a qualitative analysis based on six heterosexual girls' stories about the way out of their violent relationship. The purpose of the study was to gain an increased understanding of the six girls' leaving processes and which factors led to the final breakup. The empirical material was based on six podcast episodes where the girls talked about their experience

Succinate prodrugs as treatment for acute metabolic crisis during fluoroacetate intoxication in the rat

Sodium fluoroacetate (FA) is a metabolic poison that systemically inhibits the tricarboxylic acid (TCA) cycle, causing energy deficiency and ultimately multi-organ failure. It poses a significant threat to society because of its high toxicity, potential use as a chemical weapon and lack of effective antidotal therapy. In this study, we investigated cell-permeable succinate prodrugs as potential tr

Southern African Large Telescope Spectroscopy of BL Lacs for the CTA project

In the last two decades, very-high-energy gamma-ray astronomy has reached maturity: over 200 sources have been detected, both Galactic and extragalactic, by ground-based experiments. At present, Active Galactic Nuclei (AGN) make up about 40% of the more than 200 sources detected at very high energies with ground-based telescopes, the majority of which are blazars, i.e. their jets are closely align

Autonoma fordon och PAL – En analys av biltillverkarens ansvar för skador orsakade av artificiell intelligens

Utvecklingen av den artificiella intelligensen anses utgöra den fjärde industri-ella revolutionen. Den tekniska utvecklingen har emellertid givit upphov till ett antal komplexa frågor vad avser frågan om ansvar. Uppsatsen har som syfte att utreda om en biltillverkare kan hållas ansvarig enligt PAL för skador orsa-kade av den artificiella intelligensen i en autonom bil. Det råder strikt ansvar i PAThe development of artificial intelligence has been described as the fourth in-dustrial revolution. However, technological developments may result in com-plex questions with regard to the issue of liability. The aim of this thesis is to analyze whether a vehicle manufacturer can be held liable for damages caused by the artificial intelligence according to the Product Liability Act (PAL). The legal

Best clinical management of tenosynovial giant cell tumour (TGCT): A consensus paper from the community of experts

Tenosynovial giant cell tumour (TGCT) is a rare, locally aggressive, mesenchymal tumor arising from the joints, bursa and tendon sheaths. TGCT comprises a nodular- and a diffuse-type, with the former exhibiting mostly indolent course and the latter a locally aggressive behavior. Although usually not life-threatening, TGCT may cause chronic pain and adversely impact function and quality of life (Qo

Sensitivity of the Cherenkov Telescope Array to a dark matter signal from the Galactic centre

High-energy gamma rays are promising tools to constrain or reveal the nature of dark matter, in particular Weakly Interacting Massive Particles. Being well into its pre-construction phase, the Cherenkov Telescope Array (CTA) will soon probe the sky in the 20 GeV - 300 TeV energy range. Thanks to its improved energy and angular resolutions as well as significantly larger effective area when compare

Deep label fusion : A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation

Deep convolutional neural networks (DCNN) achieve very high accuracy in segmenting various anatomical structures in medical images but often suffer from relatively poor generalizability. Multi-atlas segmentation (MAS), while less accurate than DCNN in many applications, tends to generalize well to unseen datasets with different characteristics from the training dataset. Several groups have attempt

Förekomsten av lojalitetsplikt i kommersiella avtalsförhållanden i relation till utvecklingen av Högsta domstolens prejudikatbildning

Lojalitetsplikten i kommersiella avtalsförhållanden kan definieras som skyl-digheten för parterna i relationen att tillvarata motpartens intressen utöver sina egna. Lojalitetsplikten kan härledas långt tillbaka i historien men det är först under 1900-talets andra hälft som saker började hända och denna utveckling tog rejäl fart under de senaste ca 20 åren. Lojal samverkan mellan parterna står iblaThe principle of loyalty in commercial relations can be defined as an obliga-tion for the parties to safeguard the other party’s interests in addition to their own. The principle of loyalty can be derived far back in history, but it was only during the second half of the 20th century that things started to happen, and this progress took off in the last 20 or so years. Loyal collaboration be-tween