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Probing very close to antennas for manufacturing defect detection in a miniature shielded enclosure

This thesis investigates probing antennas within a small shielded test enclosure for IoT, Internet of Things, products for the detection of manufacturing deviations. The small enclosure forces the transmitter and receiver to be in the near-field. Shielding of the enclosure additionally generates a multipath environment, which becomes sensitive to displacements of objects such as wires or metallic

"Normer och diskurser i musikens värld" – En diskursanalys om hur populärmusik speglar och formar normer kring genus och sexuellt samtycke

This study examines how popular music reflects and shapes norms surrounding sexual consent through a discourse analysis of song lyrics from the Swedish Top 100 list of 2023. The research aims to critically analyze depictions of sexual interactions and consent in music, focusing on how these portrayals influence cultural perceptions of consent and gender roles. The methodology involves a qualitativ

Network as Sensor

The thesis introduces a concept of leveraging advanced 5G, or even future 6G networks, as powerful sensing systems. By utilizing communication network infrastructure, it explores the potential of deploying transmitter and receiver nodes at different locations, thus enabling the detection of Non-Line-of-Sight (NLOS), passive, dynamic objects transforming the network into dual-purpose communication

How Attitudes Towards People Shape Our Memories

This study investigated whether the emotional attitudes a person experiences toward another individual influence episodic memory for items associated with that individual. To examine this, we measured recognition memory for word pairs that had been previously presented overlaid on images of celebrities, with multiple images per celebrity. The participants were afterwards asked to report experience

People-centred urban transformations with focus on the circadian potential of daylight in dense urban environments

This study used the urban context of Brunnshög, Sweden as a real case study to assess non-visual daylight conditions in urban environments. More precisely, the work was focusing on how the light spectrum – through surrounding façade colour and window type – can have an impact on the circadian potential. A one-bedroom apartment opening onto a courtyard on the ground floor and the same apartment on

AI-förordningen och framtidens rekrytering: Rättsliga konsekvenser av och påverkan på arbetsgivarens användning av AI i rekryteringsprocesser

AI-förordningen innebär en ny rättslig reglering av AI-baserade rekryteringssystem, vilka klassificeras som högriskverktyg. Denna studie analyserar vilka krav AI-förordningen ställer på arbetsgivare och hur deras möjligheter att använda AI i rekrytering påverkas. Studien undersöker också de juridiska och praktiska konsekvenserna för både arbetsgivare och arbetssökande. Resultaten visar att AI-föroThe AI Act introduces a new legal framework for AI-based recruitment systems, categorizing them as high-risk tools. This study examines the requirements imposed on employers by the AI Act and how it affects their ability to use AI in recruitment. It also explores the legal and practical consequnces for both employers and job seekers. The findings show that the AI Act imposes increased requirements

Navigating Leadership in Multicultural Workplaces: The Impact of Transformational, Transactional and Laissez- Faire Leadership on Team Interactions

As globalization increasingly shapes modern workplaces, multicultural teams have become a standard feature. While such teams bring diverse perspectives and enhance problem-solving capabilities, they also face persistent challenges in communication, trust, and collaboration. Leadership plays a decisive role in determining whether diversity fosters synergy or results in fragmentation. This study exa

The Suggestible Witness: Does Your Personality Make You Easier to Deceive?

Syftet med denna studie är att undersöka hur personlighet och frågetyp påverkar vittnens noggrannhet i minnesförmågan. Studien syftar till att bidra till psykologisk forskning om vittnesminnen, med tanke på de allvarliga konsekvenser som minnesfel kan ha. Data samlades in genom två digitala enkäter som administrerades till vuxna deltagare. Enkäterna bestod av tre delar: ett personlighetstest, en vThe aim of this study is to investigate how personality and question type influence memory recall accuracy of witnesses. The study seeks to contribute to psychological research on eyewitness memory due to the substantial consequences it has, despite proving fallible. Data collection was done through two digital surveys given to adults. The surveys contained three segments—a personality assessment,

Exercise Therapy as a Treatment for Anxiety, Depression, and Drug Cravings for Patients with Substance Use Disorder: A Bayesian Meta-Analysis

Intro: This study explores the extent to which exercise therapy lowers depression, anxiety, and drug cravings in patients diagnosed with Substance Use Disorder and chronic smokers who are unable to quit independently. Methods: A literature search was conducted until March 2024; journal credibility was confirmed via h-5 index. In total, nineteen randomized and nonrandomized trials (n = 707) were ac

No title

This dissertation will analyse three books. They are, in chronological order, La Colmena, by Camilio José Cela (1951), Historias de Kronen, by José Ángel Mañas (1994), and Amor, curiosidad, prozac, y dudas, by Lucía Etxebarría (1997). Etxebarría's book will be discussed before Mañas', since there are so many parallels between Amor... and La Colmena. Even though more than 40 years have pass

Next Generation Cargo Bike for Park & City Maintenance

In this thesis, I present the full design process of developing a cargo bike concept aimed at improving the work environment for park and city maintenance workers, using Velove’s cargo bike as the baseplate. I worked in close collaboration with Lunds Kommun and their park maintenance workers to get first-hand knowledge about how the current products are used and how my project could fit into their

State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations

This paper is concerned with the estimation of unknown drift functions of stochastic differential equations (SDEs) from observations of their sample paths. We propose to formulate this as a non-parametric Gaussian process regression problem and use an Ito-Taylor expansion for approximating the SDE. To address the computational complexity problem of Gaussian process regression, we cast the model in