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Dedicated optics with extremely short electron bunches enable synchrotron light sources to generate intense coherent THz radiation. The high degree of spatial compression in this so-called low-αc optics entails a complex longitudinal dynamics of the electron bunches, which can be probed studying the fluctuations in the emitted terahertz radiation caused by the microbunching instability ("bursting"
Using firm-level data from 15 European countries between 2011 and 2019, this paper examines the productivity effect associated with the development of Artificial Intelligence (AI), measured by patenting success in AI fields. By making advances in AI and expanding on their knowledge base, companies can optimise production tasks, and improve resource utilisation, ultimately leading to higher levels
Wildfire evacuation is a life-saving measure of last resort, but delays can lead to dire outcomes, putting people at risk of fire entrapment. The success or failure of an evacuation depends on the relative speeds of the wildfire and the evacuation, and this varies across communities and wildfires. Despite the importance of understanding this dynamic, no formal framework exists to define or quantif
Background: Tau-PET is a diagnostic tool with high sensitivity and specificity for discriminating Alzheimer’s disease (AD) dementia from other neurodegenerative disorders in well-controlled research environments. The role of tau-PET in real-world clinical practice, however, remains to be established. The aim of the TAP-TAU study is therefore to investigate the impact of tau-PET in clinical practic
The use of studded tires can cause significant wear of road surfaces then also affect the air quality in urban areas. The studs of today's studded tires are manufactured from hard metal containing cobalt. In this study, we investigated using alternative cobalt-free hard metal studs to reduce particulate emissions in the future. The tire-to-road interface is subjected to both impact wear and slidin
Understanding the electrophysiological properties of antidepressant medications is important to resolve the response heterogeneity of these drugs in clinical practice. Administration of paroxetine, a selective serotonin reuptake inhibitor, has been shown to increase serotonin levels that affect cortical activities in healthy subjects. However, the extent to which cortical oscillations can be alter
The aim of this chapter is to explore the safety value of implementing Asimov's Laws of Robotics as a future general framework that humans should obey. Asimov formulated laws to make explicit the safeguards of the robots in his stories: (1) A robot may not injure or harm a human being or, through inaction, allow a human being to come to harm; (2) A robot must obey the orders given to it by human b
In this article, we analyse implicit connections between gender equality and particular forms of religion in Sweden, as expressed in political discourse and social media debates. Instagram posts responding to the Christian Democrats [Kristdemokraterna] political party’s proposal to ban the wearing of veils in Swedish primary schools in 2021 were analysed through methods of co-occurrence analysis a
Objective: Vaginal hysterectomy combined with uterosacral suspension (USLS) is a technique for treating pelvic organ prolapse. Vaginal natural orifice transluminal endoscopic surgery (vNOTES) has been described as an alternative minimal invasive approachfor treating various gynecological and non-gynecological pathologies. The aim was to compare the surgical time between conventional vaginal hyster
Addressing the risks of cyanobacterial blooms and toxin production under ongoing and accelerating eutrophication and climate warming is crucial for both water ecosystem services and human health. Therefore, we here explored the interactive effects of eutrophication and warming on freshwater ecosystems, focusing on Microcystis and its cyanotoxin production. We employed a large-scale mesocosm system
Background: Uric acid closely relates to both kidney disease and atrial fibrillation (AF), yet the extent to which it influences the kidney-AF association remains uncertain. We examined the relationship between kidney function and risk of AF, accounting for uric acid levels. Methods: A total of 308,509 individuals in the Swedish Apolipoprotein-Related Mortality Risk (AMORIS) cohort were included a
Background. Kidney involvement is common in anti-neutrophil cytoplasm antibody-associated vasculitis (AAV) and the prognosis is determined by the severity of kidney damage. This study focused on long-term kidney outcomes, defining possible risk factors and comparing the performance of three different histological classifications to predict outcomes for patients with AAV. Methods. The dataset inclu
Despite an advanced understanding of disease mechanisms, the current therapeutic regimen fails to cure most patients with acute myeloid leukemia (AML). In the present study, we address the role of ribosome assembly in leukemia cell function. We apply patient datasets and murine models to demonstrate that immature leukemia cells in mixed-lineage leukemia-rearranged AML are characterized by relative
Hybrid e-learning offered flexibility for students who could not attend in-person classes during the COVID-19 pandemic, but its effectiveness in teaching chest physiotherapy remains to be determined. This retrospective case-control study assessed physiotherapy students’ academic performance and satisfaction with a hybrid classroom approach adopted during the COVID-19 pandemic for teaching airway c
The field of oncobiology is witnessing rapid progress, with numerous ongoing studies dedicated to comprehending the intricate mechanisms underlying cancer initiation, progression, and therapeutic interventions. Despite significant strides, there remains a substantial gap in fully understanding the multifaceted factors driving cancer development and trajectory. This chapter delves into the imperati
The need to develop new and computationally efficient artificial intelligence models that accurately simulate river flows in data-scarce regions, considering not only current but also projected future climate change conditions is vital. In this study, a hybrid artificial neural network (ANN) model that combines HEC-HMS and the feed-forward neural network (FFNN) was developed in the Python programm
Seaweeds (macroalgae) are an attractive resource for diverse microbial- and enzymatic production processes. They are abundant, underutilized, cheap, and rich in carbohydrates, and therefore have the potential to be used as a source of mono- or oligosaccharides, and as substrates for industrial fermentation processes. Many seaweed polysaccharides, including the sulfated polysaccharides ulvan and fu
To design an artificial protein-based molecular motor that can autonomously step along a track is a key challenge of protein design and synthetic biology. We lay out a roadmap for how to achieve this aim, based on a modular approach that combines the use of natural, non-motor proteins with de novo design. We define what can be considered to constitute a successful artificial protein motor, identif
On May 26, 2021, the European Medical Device Regulation (EU-MDR) entered into effect resulting in a major shift in the requirements for assessment of medical devices in Europe. The EU-MDR Cardiovascular Collaboratory (EU-MCVC) was founded to contribute to the development of faster, more efficient, and more effective pathways for innovation of cardiac medical devices. A registry is an organized sys
To address environmental and climate issues, alternative technologies to fossil resources are sought after, both for the production of fuels and of chemicals. Algae appear as an attractive solution and have applications in the food, feed, energy or chemistry at large. A study funded by ADEME and conducted by ENEA, a consulting firm for energy and sustainable development for the industrial sector,
