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Clinical and molecular response to alpha1-oleate treatment in patients with bladder cancer

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

On Swedish and Australian employer’s attitudes to recruiting welfare clients and the role of stigma. A working paper.

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

Uncertainty quantification metrics for deep regression

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

Making the Flow Glow - Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients

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

Detecting the dimensionality of genuine multiparticle entanglement

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

Amylase intrapancreatic infusion delays insulin release during an intravenous glucose tolerance test, proof of acini–islet–acinar interactions

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

Toxic small alarmone synthetase FaRel2 inhibits translation by pyrophosphorylating tRNAGly and tRNAThr

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

High-throughput neural stem cell-based drug screening identifies S6K1 inhibition as a selective vulnerability in sonic hedgehog-medulloblastoma

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

Ma nagement a nd outcome in foreign-born vs native-born patients with myocardial infarction in Sweden

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

"Och ett päron mognar i skuggan": Thelonious Monk i svenska medier 1948–63

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

Charitable food donations in Sweden – a new philanthropy finding its place in a time of crisis

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

Machine Learning for Perception and Localization: Efficient and Invariant Methods

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

Room Impulse Response Estimation using Optimal Transport : Simulation-Informed Inference

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

Sound Field Estimation Using Deep Kernel Learning Regularized by the Wave Equation

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

MAGIC library – A tool to assess surface water acidification

We have developed a tool, the MAGIC library, which provides an acidification assessment for any given lake or stream in Sweden based on ten parameters describing lake geographical position, surface area, annual discharge and observed lake water chemistry. The MAGIC library consists of two key components: a library of the existing MAGIC model simulations for 2438 lakes and an analogue matching rout

Self-reported fatigue in people with post COVID-19 : Impact on functioning in daily life, and associated factors – a cross-sectional study

Objective: To assess (i) the impact of self-reported fatigue on functioning in daily life, and (ii) the association with sociodemographics, physical capacity, and work ability among people with post-COVID-19. Design: A cross-sectional study. Subjects: Adults reporting post-COVID-19 symptoms for at least 2 months. Methods: Participants were recruited through social media and responded to an online