We live in a time where capitalism has long since eliminated any notion of alternative systems from our imaginaries, so that it “occupies the horizon of the thinkable” (Fisher 2009). At the same time, we have seen a (re)turn to positivism and acceptance of the neoliberal system in academia, even in the humanities and studies of art (Grønstad 2020, Poenar 2018). The rejection of the political proje

Human pose forecasting is the task of predicting articulated human motion given past human motion. There exists a number of popular benchmarks that evaluate an array of different models performing human pose forecasting. These benchmarks do not reflect that a human interacting system, such as a delivery robot, observes and plans for the motion of the same individual over an extended period of time

Interpolations in the latent space of deep generative models is one of the standard tools to synthesize semantically meaningful mixtures of generated samples. As the generator function is non-linear, commonly used linear interpolations in the latent space do not yield the shortest paths in the sample space, resulting in non-smooth interpolations. Recent work has therefore equipped the latent space

This masters thesis deals with mathematical signal detection in the field of NQR,Nuclear Quadrapole Resonance, which is a non-invasive spectroscopic technique usedto identify specific substances. The thesis has two main focuses, where the first isto propose novel methods for parameter estimation, especially for identification ofunknown signals. These extend the existing Capon and APES methods for

This study is an explorative examination of changes in employment, revenue, and firm structure for low, mid, and high-skill firms in urban and rural areas in Sweden from 2007 to 2019, using skill groups based on education levels. For employment in Sweden in general, we find evidence of job upgrading. In the city of Stockholm we also document job polarization in the sense that employment in both lo

In this paper we provide a far-reaching generalization of the existent results about invariant subspaces of the differentiation operator D=∂t on C^{\infty}(0,1) and the Volterra operator Vf(t)=∫f(s)ds, on L^{2}(0,1). We use an abstract approach to study invariant subspaces of pairs D,V with DV=I, where V is compact and quasi-nilpotent and D is unbounded densely defined and closed on the same Hilbe

The breakthroughs in generative artificial intelligence (AI) technologies have enabled the creation of hyper-realistic media content that credibly mimics human beings. As AI-generated media (AGM) become more accessible on social media platforms, concerns about young people’s capabilities to deal with mis- and disinformation are rising. This study aims to investigate young people’s practices to ass

The ever-growing reliance on electronic devices and the burgeoning field of green energy necessitate efficient and different gain AC-DC converters for a myriad of applications, from electric drives to solar cells and grid-connected inverters. This paper introduces a hybrid closed-loop bridged and bridgeless Single-Ended Primary-Inductor Converter (SEPIC) topologies featuring switched-capacitor net

Om alla människor hade möjlighet att välja medborgarskap, som man väljer bostad eller annan konsumtion, skulle vi implicit observera deras preferensergenom dessa beslut. Medborgarskap kan betraktas som privat men ej överlåtbar egendom. Om medborgarskapet blev överlåtbart och vi kunde handla meddem och hade en etablerad handelsplats – likt en aktiebörs – skulle vi kunna observera marknadspriser på

The COVID-19 pandemic disrupted the ‘normality’ of our everyday lives, but it did so in the wake of a series of crises within the capitalist system, which worsened the conditions for a liveable world for many while benefitting only a few. In response to these crises, the contributions in this issue highlight the diverse ways activists continue to organise in the midst of social, political, and eco

Microelectronic systems, wind energy applications, battery chargers, DC motor controllers, and home electric appliances all require AC/DC converters for power supply. With a high voltage conversion ratio and minimal EMI emissions, switching capacitor (SC) based converters could be a promising answer to the difficulties of the present century. A bridge SEPIC PFC converter with a mono-switching capa

The performance of graphene-based and multilayer MoS2 based MSM (metal-semiconductor-metal) photodetectors is compared in this study using analytical analysis and simulation. At varying voltages, optical powers, and wavelengths, the total illuminated current, photocurrent, and photo responsivity in these two photodiodes show distinct findings. While adjusting the wavelength of the incident light a

Power supplies for microelectronic systems, battery chargers, wind energy applications, electric appliances in the household and dc motor drives require AC-DC converters. The proposed bridgeless Cuk PFC converter in this paper is featured with common ground, transformerless structure, and clear energy delivery process. The absence of bridge rectifiers, transformer and the presence of only two semi

AC-DC converters are mostly used as power supplies for microelectronic systems, battery chargers, wind energy applications, electric appliances in household and dc motor drives. Switched-capacitor (SC) network based converters can be good solution to the challenges of 21st century having high voltage conversion ratio and low EMI emissions. The application of this type of converters is in microproc

The growth of III-V nanowires has attracted significant attention due to their superior electrical and optical properties, which are crucial for advanced optoelectronic devices such as lasers and photonic circuits. Since the 1960s, Au has beenextensively used as a catalyst for III-V nanowire growth, with substantial research conducted through both ex situ and in situ techniques. However, Au introd

This paper investigates artistic representations of machine learning and their interventional potential. Taking its point of departure in two works of art, the paper discusses effects of predictability and unpredictability caused by machine learning systems. By thinking through “eventfulness” (Bucher) and “nonconscious cognition” (Hayles) in human and non-human environments, the paper analyzes the