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Objective: Sex cord-stromal tumours of the ovary are relatively uncommon neoplasms that account for 3 % of all ovarian cancers. Uterine preservation with careful staging is achievable; however, conservative surgery remains controversial. This study examined the prognostic effects of uterine preservation in patients with stage I sex cord-stromal tumours. Study design: This retrospective cohort stud

Hemopexin and α1-microglobulin act as scavengers to eliminate free heme-groups responsible for hemoglobin-induced oxidative stress. The present study evaluated maternal and fetal plasma concentrations of these scavengers in the different phenotypes of placenta-mediated disorders. Singleton pregnancies with normotensive fetal growth restriction [FGR] (n = 47), preeclampsia without FGR (n = 45) and

Wrist-worn devices are popular for heart rate monitoring, including use of photoplethysmography. The Apple Watch series 4 can identify atrial fibrillation. We describe a case of identification re-entrant supraventricular tachycardia not identified by outpatient rhythm monitoring, however, was identified by the Apple Watch series 4, which lead to electrophysiology study and successful ablation of a

On 3 June 2020, the Commission issued the second phase of the consultation on possible EU action on fair minimum wages. The proposed action reflects the commitment made by the President of the Commission, Ursula von der Leyen to “propose a legal instrument to ensure that every worker in our Union has a fair minimum wage” within the first 100 days of her mandate. In this entry,I will consider is wh

Introduction of exogenous genetic material into primary stem cells is essential for studying biological function and for clinical applications. Traditional delivery methods for nucleic acids, such as electroporation, have advanced the field, but have negative effects on stem cell function and viability. We introduce nanostraw-assisted transfection as an alternative method for RNA delivery to human

Nature-based solutions (NbS) are gaining traction in high-level, decision-making arenas as a response to global policy challenges. Claiming to be transformative and pluralistic, NbS aim to resolve societal problems through a focus on nature, which is understood to be a benign ally. This uncritical framing of nature may have unintended and inequitable consequences that undermine the emancipatory po

In this study, we investigate the responses of soil organic carbon (C) to nitrogen (N) and phosphorus (P) additions along a soil P stock gradient of five beech forest stands in Germany, using a modelling approach. Two different soil models with coupled C, N, and P cycles are used to simulate fertilization experiments conducted at the study sites. The first model, the stand-alone soil module of QUI

Surrogate measures of safety (SMoS) are meant to function as tools to investigate traffic safety. The term surrogate indicates that these measures do not rely on crash data; instead, they focus on identifying safety critical events (or near-crashes) in traffic, which can be used as an alternative to crash records. The overall aim of this thesis is to explore which SMoS are suitable when analysing

Overview: Drawing from ethnographic observations at senior camps, this paper discusses the contradiction between wanting to push participants into trying newactivities and needing to pull them back to ensure safety.Theme: Social and Cultural Perspectives on Aging

Mental episodes are typically associated with subjective ownership and first-person authority. My belief that an apple is red is had by me; it is mine and I’m in a privileged position to know it. Your experience of red is had by you; it is yours and you are in a privileged position to know it. The two assumptions are that mental events are had by individuals to whom they occur, and that owners are

Safety in density (SID) potentially explains the safety in numbers (SIN) phenomenon by positing that ‘the SIN effect can be reproduced simply through encouraging behaviour that leads to the formation of higher-density cyclist groups’. The study further explores this hypothesis using event-based exposure, queues and groups of road users. Using three different definitions of encounters between road u

The 2018 drought was one of the worst European droughts of the twenty-first century in terms of its severity, extent and duration. The effects of the drought could be seen in a reduction in harvest yields in parts of Europe, as well as an unprecedented browning of vegetation in summer. Here, we quantify the effect of the drought on net ecosystem exchange (NEE) using five independent regional atmos

Background: To target specific neuronal populations by gene transfer is challenging. A complicating fact is that populations of neurons may have opposing roles despite being found adjacent to each other. One example is the medium spiny neurons of the striatum. These cells have different projection patterns, a trait used in this study to specifically target one population. New Method: Here we prese

De stora miljö- och samhällsproblemen kommer inte ensamma. De är sammankopplade på olika sätt. Detta innebär utmaningar men ger också möjligheter att utveckla åtgärder och lösningar. Det gäller både för klimatfrågan och frågan om att motverka förlusten av biologisk mångfald och ekosystem. Kunskapens betydelse för att hantera dessa och andra aspekter är ovärderlig, såväl kring specifika frågeställn

Background Breathlessness is a major cause of physical limitation. Recalled breathlessness intensity may differ from experienced intensity and be influenced by the intensity trajectory including the ‘peak-end rule’. The primary aim was to test if adding two minutes of low intensity exercise at the end of an exercise test would change the recalled breathlessness. Secondary aims included to analyse

Deep learning has proven itself to be a powerful tool to develop datadriven signal processing algorithms for challenging engineering problems. By learning the key features and characteristics of the input signals instead of requiring a human to first identify and model them, learned algorithms can beat many human-made algorithms. In particular, deep neural networks are capable of learning the comp