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Expanding European fossil-based plastic production in a time of socio-ecological crisis : A neo-Gramscian perspective

The global plastics industry is undergoing significant expansion, driven by record-scale infrastructure investments that are increasing fossil fuel demand. However, this growth has largely bypassed Europe, where mature markets, limited feedstock availability, and stringent environmental regulations prevail. Despite these constraints, in 2019 the petrochemical conglomerate INEOS announced plans for

Are excessive pricing cases few and far between? A quantitative analysis of fifty years of European jurisprudence 1971–2021

The prohibition against excessive pricing dates back to the years of Babylonian King Hammurabi. Nevertheless, the prohibition is described by many as being “controversial” and against “mainstream economics”, which is why it should be applied rather sparsely. It has also rather routinely been claimed that the actual number of excessive pricing cases is “scarce”, “limited” and so on. Despite the his

Autonomous Navigation with Convergence Guarantees in Complex Dynamic Environments

This article addresses the obstacle avoidance problem for setpoint stabilization and path-following tasks in complex dynamic 2D environments that go beyond conventional scenes with isolated convex obstacles. A combined motion planner and controller is proposed for setpoint stabilization that integrates the favorable convergence characteristics of closed-form motion planning techniques with the int

Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations

Normalizing flows (NFs) have been shown to be advantageous in modeling complex distributions and improving sampling efficiency for unbiased sampling. In this work, we propose a new class of continuous NFs, ascent continuous normalizing flows (ACNFs), that makes a base distribution converge faster to a target distribution. As solving such a flow is non-trivial and barely possible, we propose a prac

Seamless integration of target-controlled infusion and closed-loop anesthesia

The anesthetic drug propofol is commonly used to control hypnotic depth (suppression of awareness) in patients undergoing surgery or intensive care. In addition to manual titration, a model-based open-loop feed-forward strategy called target-controlled infusion (TCI) has attained some clinical popularity. Research on closed-loop control, with awareness estimates derived from an electroencephalogra

Optimizing Industrial Etching Processes for PCB Manufacturing : Real-Time Temperature Control Using VGG-Based Transfer Learning

Accurate temperature control in Printed Circuit Board (PCB) manufacturing is essential for maintaining high-quality etching results. Automated monitoring us-ing machine vision and deep learning offers an effective approach for this task. This study investigated a feature-based transfer learning technique for classifying temperature readiness in infrared images of the etching process. The captured

Compulsory License

Compulsory licensing refers to a situation in which a non-exclusive license of an intellectual property right (‘IPR’) can be granted by a competent authority to a third party to make, use or sell an invention, where remuneration is paid to the right-holder and the right-holder maintains its legal intellectual property rights. Thus, Compulsory Licensing represents an exception to the normal exclusiCompulsory licensing refers to a situation in which a non-exclusive license of an intellectual property right (‘IPR’) can be granted by a competent authority to a third party to make, use or sell an invention, where remuneration is paid to the right-holder and the right-holder maintains its legal intellectual property rights. Thus, Compulsory Licensing represents an exception to the normal exclusi

Barriers for Inclusion in Swedish Jazz Culture: Subcultural Restraints and Possibilities in a Male Dominated Environment

Cultural values and beliefs within the jazz community have intrigued social scientists for a long time. Being one of the oldest recognised subcultures, jazz has been celebrated for its socio-political ambitions as well as the complexity and aesthetics of the music itself. Being recognised as an outlet for fighting social injustices throughout history, the notable exclusion of female jazz musicians

Karriärskvinna eller soft girl? En kvalitativ studie om unga kvinnor och karriärsförväntningar

Denna kvalitativa studie lyfter fram hur unga kvinnor som läser en eftergymnasial utbildning tänker och resonerar inför sitt framtida yrkesliv, samt hur sociala medier formar tankar kring karriär, med utgångspunkt utifrån trender som förespråkar att inte jobba. I dagens samhälle exponeras unga kvinnor för förväntningar och normer kring arbetsliv, kön och karriär som ibland ter sig motsägelsefulla.Young women are exposed to expectations and norms surrounding work, gender, and career that can often seem contradictory. This qualitative study explores how women navigate these expectations and how their thoughts on future careers as well as gender norms are influenced by social media, using semi-structured interviews. The study focuses on their perceptions of success and how societal norms shap

Genome-Wide Gene Birth–Death Dynamics Are Associated with Diet Breadth Variation in Lepidoptera

Comparative analyses of gene birth–death dynamics have the potential to reveal gene families that played an important role in the evolution of morphological, behavioral, or physiological variation. Here, we used whole genomes of 30 species of butterflies and moths to identify gene birth–death dynamics among the Lepidoptera that are associated with specialist or generalist feeding strategies. Our w

Remote and unsupervised digital memory assessments can reliably detect cognitive impairment in Alzheimer's disease

INTRODUCTION: Remote unsupervised cognitive assessments have the potential to complement and facilitate cognitive assessment in clinical and research settings. METHODS: Here, we evaluate the usability, validity, and reliability of unsupervised remote memory assessments via mobile devices in individuals without dementia from the Swedish BioFINDER-2 study and explore their prognostic utility regardi

Computer Vision Techniques Demonstrate Robust Orientation Measurement of the Milky Way Despite Image Motion

Many species rely on celestial cues as a reliable guide for maintaining heading while navigating. In this paper, we propose a method that extracts the Milky Way (MW) shape as an orientation cue in low-light scenarios. We also tested the method on both real and synthetic images and demonstrate that the performance of the method appears to be accurate and reliable to motion blur that might be caused

Tunneling dynamics of Dy 164 supersolids and droplets

The tunneling dynamics of a magnetic Dy164 quantum gas in an elongated or pancake skewed double-well trap is investigated with a time-dependent extended Gross-Pitaevskii approach. Upon lifting the energy offset, different tunneling regimes can be identified. In the elongated trap and for sufficiently large offset, the different configurations exhibit collective macroscopic tunneling. For smaller o

Analysis and design of a GHz bandwidth adaptive bias circuit for an mmW Doherty amplifier

This paper derives theoretical results for adaptive bias in Doherty amplifiers and presents the design and measurements of an integrated adaptive bias circuit tailored for high peak-to-average high bandwidth signals. Fundamental equations for output power, impedance, and efficiency of the complete Doherty amplifier are derived. Even with ideal transistor models, the Doherty amplifier is fundamenta

From Fleece to Thread : Interdisciplinary Evidence for the Origins of Sheep Wool

Sheep wool was used in the production of textiles across Europe from prehistoric times onwards, but its origins remain unclear. Textiles are rarely preserved in the archaeological record, but further indirect evidence supports their use, such as the study of textile tools, osteology, and terminology. Moreover, new analytical methods, such as protein and DNA analysis, enable the identification of w

Beyond Justice versus Efficiency – Reconciling Law and Economics approaches to Fairness

Recent years have seen the dominance of neoclassical, marginalist and welfarist schools of Competition Law and Economics being challenged more vigorously than ever [See two major collecting works on fairness in economics in: Fennell and McAdams (2013) and Cappelen and Tungodden (2019)]. Although the core assumptions of the neoclassical school regarding overt reliance on rationality and efficiency