Age-related neurodegenerative diseases are a growing burden to society, and many are sporadic, meaning that the environment, diet and lifestyle play significant roles. Cerebrospinal fluid (CSF)-mediated clearing of brain waste products via perivascular pathways, named the glymphatic system, is receiving increasing interest, as it offers unexplored perspectives on understanding neurodegenerative di

Lorcaserin, which is a selective agonist of serotonin2C receptors (5-HT2CRs), is a new FDA-approved anti-obesity drug that has also shown therapeutic promise in other brain disorders, such as addiction and epilepsy. The modulation of dopaminergic function might be critical in the therapeutic effect of lorcaserin, but its exact effect is unknown. Here, we studied the effect of the peripheral admini

The moisture-dependency of the fracture energy for unmodified and acetylated Scots pine (Pinus sylvestris L.) and birch (Betula pendula Roth) has been investigated. Specimens were conditioned at relative humidity levels of 20, 75, and 97%, as well as dry and water-saturated. At moisture contents below 15%, the fracture energy increased with increasing moisture content for both unmodified and acety

The paper contributes to debates on dark phases of regional industry path development processes. We focus on the role of industry legitimacy and study legitimacy spillovers from contextual structures in the case of the biogas industry in Scania, Sweden. Previously presented as a success case, we show how legitimacy spillovers from various contextual structures influenced the path development proce

Aims: Right ventricular dysfunction may arise because of pulmonary arterial hypertension (PAH). Development of new diagnostic methods able to identify PAH and allow for earlier treatment initiation, before the development of vascular remodelling and manifest right heart failure (HF), could potentially improve prognosis. Proteoglycans and inflammatory proteins are involved in vascular remodelling.

In this 2 hour workshop the experiences of the geographic data domain will be shared with the open data research & education community to promote and strengthen active innovative learning and teaching in both worlds. The domain of geographic data can be considered as one of the front running in open data. Over the past two decades, many geographic datasets in Europe became available as open da

Introduction: Cardiotocography (CTG) is the main method of intrapartum fetal surveillance. In 2015 a new guideline was introduced by the International Federation of Gynecology and Obstetrics (FIGO), FIGO-15. In Sweden it was adjusted to SWE-17, replacing the previous national template, SWE-09. This study, conducted at one university hospital and one regional hospital in southern Sweden, evaluated

Home care for the elderly constitutes a large and growing part of the social welfare system. Though, home care work is associated with a number of work environment-related challenges, including an increased risk for injuries, musculoskeletal disorders, high levels of sick leave and staff turnover, as well as stress and high workload, research is sparse. The present study explores local initiatives

Lytic polysaccharide monooxygenases (LPMOs) are enzymes that bind polysaccharides followed by an (oxidative) disruption of the polysaccharide surface, thereby boosting depolymerization. The binding process between the LPMO catalytic domain and polysaccharide is key to the mechanism and establishing structure-function relationships for this binding is therefore crucial. The hyperfine coupling const

This article focuses on how academic and industrial leaders view central aspects of the initiation, collaboration process, and the outcomes in government-funded R&D projects. In much previous work on university-industry collaborations (UICs), universities or researchers and/or firms have been studied without any direct reference to the other party, thus neglecting the fact that the motivations

Criminology is not just focused on explaining the etiological factors behind crime commission; ultimately the goal is to find and empirically assess policies to control it. A criminology of the State is no different. Over the course of the past two decades, a growing number of scholars of State crime have devoted attention to and research on the issues of controls, yet, there have been relatively

The Mau Forest Complex is Kenya's largest fragment of Afromontane forest, providing critical ecosystem services, and has been subject to intense land use changes since colonial times. It forms the upper catchment of rivers that drain into major drainage networks, thus supporting the livelihoods of millions of Kenyans and providing important wildlife areas. We present the results of a sedimentologi

Background and purpose: Few studies on magnetic resonance imaging (MRI) only head and neck radiation treatment planning exist, and none using a generally available software. The aim of this study was to evaluate the accuracy of absorbed dose for head and neck synthetic computed tomography data (sCT) generated by a commercial convolutional neural network-based algorithm. Materials and methods: For

Alkaline delignification of wood tissue is the core of the global pulping technology and the most prominent large-scale separation of the main wood components. This work aims at improved understanding of the interplay between the topochemistry of alkaline pulping and the associated morphological changes. Morphology and chemical structure of partially soda-delignified wood chips were studied combin

This paper presents a wireless power transmission system which is able to deliver power to multiple loads by making use of a time-division multiplexing technique. Similar loads are placed into the slots in a row, and two power transmitters, at the bottom and top, supply them with sufficient amount of power. This system operates in two phases; within one phase, the transmitters are in-phase, and th

In this paper, a model inspired by Grand Unification principles featuring three generations of vector-like fermions, new Higgs doublets and a rich neutrino sector at the low scale is presented. Using the state-of-the-art Deep Learning techniques we perform the first phenomenological analysis of this model focusing on the study of new charged vector-like leptons (VLLs) and their possible signatures