Filtyp
Turner syndrome (TS) is a genetic condition characterized by partial or complete monosomy X. A reduced life expectancy has been shown in TS, depending on an increased risk of aortic dissection, and ischemic heart disease. Studies covering the occurrence of psychiatric conditions are sparse within TS. Several case reports describe concomitant TS and neuropsychiatric abnormalities that may represent
Hemozoin (Hz) is a heme crystal produced during malaria infection that stimulates immune cells, leading to the production of cytokines and chemokines. The immunostimulatory action of Hz has previously been applied in the development of alternative adjuvants. Crystallization of hemin is a chemical approach for producing Hz. Here, we focused on an enzymatic production method for Hz using the heme de
Background: The tumoricidal complex alpha1-oleate targets bladder cancer cells, triggering rapid, apoptosis-like tumor cell death. Clinical effects of alpha1-oleate were recently observed in patients with non-muscle invasive bladder cancer (NMIBC), using a randomized, placebo-controlled study protocol. Aims: To investigate if there are dose-dependent effects of alpha1-oleate. Materials and Methods
This comparative study delves into the intricate challenges surrounding stigma within active labor market programs (ALMPs) and its implications for work, wellbeing, and social policy. In both Sweden and Australia, employers exhibit reluctance to draw from this candidate pool for recruitment. Understanding employers' reasons for not utilising ALMP candidates, their expectations from candidates, and
When deploying deep neural networks on robots or other physical systems, the learned model should reliably quantify predictive uncertainty. A reliable uncertainty allows downstream modules to reason about the safety of its actions. In this work, we address metrics for uncertainty quantification. Specifically, we focus on regression tasks, and investigate Area Under Sparsification Error (AUSE), Cal
Modern robotic perception is highly dependent on neural networks.It is well known that neural network-based perception can be unreliable in real-world deployment,especially in difficult imaging conditions.Out-of-distribution detection is commonly proposed as a solution for ensuring reliability in real-world deployment.Previous work has shown that normalizing flow models can be used for out-of-dist
Complex forms of quantum entanglement can arise in two qualitatively different ways: either between many qubits or between two particles with higher-than-qubit dimension. While both the many-qubit frontier and the high-dimension frontier are well established, state-of-the-art quantum technology is becoming increasingly able to create and manipulate entangled states that simultaneously feature many
BACKGROUND The possible existence of an acini–islet–acinar (AIA) reflex, involving mutual amylase and insulin interactions, was investigated in the current acute experiment on pigs. AIM To confirm the existence of an AIA reflex and justify the placement of the exocrine and endocrine pancreatic components within the same organ. METHODS The study was performed on six pigs under general anesthesia. A
Translation-targeting toxic small alarmone synthetases (toxSAS) are effectors of bacterial toxin-antitoxin systems that pyrophosphorylate the 3'-CCA end of transfer RNA (tRNA) to prevent aminoacylation. toxSAS are implicated in antiphage immunity: Phage detection triggers the toxSAS activity to shut down viral production. We show that the toxSAS FaRel2 inspects the tRNA acceptor stem to specifical
Background. Medulloblastoma (MB) is one of the most common malignant brain tumors in children. Current treatments have increased overall survival but can lead to devastating side effects and late complications in survivors, emphasizing the need for new, improved targeted therapies that specifically eliminate tumor cells while sparing the normally developing brain. Methods. Here, we used a sonic he
Aims Previous studies on disparities in healthcare and outcomes have shown conflicting results. The aim of this study was to assess differences in baseline characteristics, management, and outcomes in myocardial infarction (MI) patients, by country of birth. Met hods a nd results In total, 194 259 MI patients (64% male, 15% foreign-born) from the nationwide SWEDEHEART (The Swedish Web-system for E
Following the record company Blue Note’s publicity campaign for jazz pianist Thelonious Monk in 1948, the image of Monk commonly presented in Swedish as well as American media was one of an eccentric, mysterious, even weird musician, sometimes viewed as a genius. This article presents and discusses the development of the Swedish media image of Monk during the period 1948–63, from the first mention
The purpose of this paper is to describe and analyse the establishment of large-scale food philanthropy in Sweden. Food philanthropy is here understood as collaborations between civil society organisations and the food industry, through which food surplus is turned into food aid for people in food insecurity. The first examples of such philanthropy emerged less than ten years ago in Sweden, but it
This thesis covers a set of methods related to machine perception and localization, which are two important building blocks of artificial intelligence. In Paper I, we explore the concept of regression via classification (RvC), which is often used for perception tasks where the target variable is either ordinal or when the distance metric of the target space is not well-suited as an objective funct
The rapid emergence of Generative Artificial Intelligence (GenAI) presents higher education with unprecedented opportunities to augment and enhance learning. As educators, learners, technologists and institutional leaders, we find ourselves navigating uncharted territory. How can we evaluate, integrate and govern these rapidly evolving technologies responsibly, so that they enrich rather than disp
The ability to accurately estimate room impulse responses (RIRs) is integral to many applications of spatial audio processing. Regrettably, estimating the RIR using ambient signals, such as speech or music, remains a challenging problem due to, e.g., low signal-to-noise ratios, finite sample lengths, and poor spectral excitation. Commonly, in order to improve the conditioning of the estimation pro
In this work, we introduce a spatio-temporal kernel for Gaussian process (GP) regression-based sound field estimation. Notably, GPs have the attractive property that the sound field is a linear function of the measurements, allowing the field to be estimated efficiently from distributed microphone measurements. However, to ensure analytical tractability, most existing kernels for sound field estim
