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This paper examines the applicability of three licensing models, compulsory licensing, free licensing and FRAND licensing, to green technology patent pools. Given that green technologies are critical in addressing global environmental challenges and achieving the SDGs, they can be effective in balancing incentives for innovation with wider dissemination of technologies. This study evaluates ea
Being, when built, the most powerful neutron accelerator in the world, there will be a large number of potential discoveries at the European Spallation Source (ESS) in Lund. One of the most exciting of these, from a particle physics point of view, is the Coherent Elastic Neutrino-Nucleus Scattering (CEνNS). The goal of the thesis project is to calculate the neutron background in a room that could
Given the importance of copper prices to investors, governments, and policymakers, this paper investigates short-term price predictability using VAR and XGBoost models. All models are trained with historical data from November 2021 to December 2022 and using MSE, RMSE and MAE for evaluating the model performance. The results show that the XGBoost model outperforms VAR models, implying that machine
This paper examines the performance of traditional statistical models (SARIMA & SARIMAX) and modern machine learning models (XGBoost) for forecasting Swedish public sector food prices organized by a hierarchical index structure. The depth of the analysis is made possible by collaborating with Matilda Foodtech, who gave access to anonymized food procurement data from Swedish public organization
Beginning with the question of whether, and how, gender equality can be measured, this thesis is written with the ambition to evaluate one aspect of the Swedish government’s equality goal, equality in power and influence, with the help of an index. It departs from a discussion within the field of gender studies where gender equality is found to be an “empty” word that can be used for a variety of
This thesis describes the process to build an entity recognizer and disambiguator, named HERD. The goal of the system is to find mentions of entities in text and link those mentions to a unique identifier. This system is designed to be multilingual and has versions in English, French and Swedish. I use Wikipedia as a knowledge source of both names and concepts, and Wikidata, a language agnostic,
Student achievement in reading is a complex phenomenon that depends on many factors, but perhaps it can be predicted with a smaller model. Does attending kindergarten as well as parental education affect reading achievement at the end of the fourth grade? Can reading achievement be predicted by the combination of attending kindergarten and parental education? Results from the IEA PIRLS (Progress i
A verdict in 2019 from the U.S Supreme Court that resulted in the withdrawal of the power of lower federal courts to judge in cases of partisan gerrymandering was a contested and debated one, both inside and outside the courtroom. Two different blocs out of the nine judges could be seen in the vote, one that voted for and one that voted against this decision, with the former bloc winning five to f
The objective of this thesis was the impact evaluation of several parameters affecting daylight conditions in a typical cellular office in Lund, Sweden. The research approach that was followed consisted of three distinct steps; the literature review in order to specify the dependent and independent variables of the study, the simulation part to produce daylight performance data and the graphical a
Cryptocurrencies are highly volatile and risky assets, therefore, it is of vital importance to find an appropriate model for risk measurement. This thesis compares three parametric and three non-parametric estimation methods to estimate the value at risk and the expected shortfall of five cryptocurrencies, namely Bitcoin (BTC), Ethereum (ETH), Binance coin (BNB), Ripple coin (XRP), and Cardano (AD
This master's thesis explores how organisations manage and measure performance through performance measurement systems. Though as performance management systems often relies on ad-hoc, informal methods, leading to inconsistencies and misalignment with organizational objectives. This study advocates for a systematic approach to performance management system implementation, aligning it with orga
In 2020, Zenuity was split up and the new company, Zenseact became a subsidiary to the car manufacturer Volvo Cars, owning 86,5% of the company. In the end of 2022, Volvo Cars acquired the rest of the company and became fully owner of Zenseact. Being a knowledge heavy company with ambitious developers at the core of the organization, Zenseact develops driving assistance software powered by advance
Denna uppsats undersöker hur studenter vid Lunds universitet använder Facebook som en plattform för bostadskontrakt. Den undersöker hur Facebooks affordances underlättar eller hindrar processen för både studenter och hyresvärdar, och hur de använder dessa möjligheter för att välja boende och hyresgäster. Studien identifierar framgångsrika strategier för att utnyttja Facebooks affordances för att sThis thesis examines how students at Lund university use Facebook as a platform for housing contracts. It explores how the affordances of Facebook facilitate or hinder the process for both students and landlords, and how they use these affordances to select accommodations and tenants. The study identifies successful strategies in leveraging Facebook's affordances to secure favorable housing co
