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Antisecretory factor in severe traumatic brain injury (AFISTBI) : protocol for an exploratory randomized placebo-controlled trial

Background: Despite recent advances in neuroimaging and neurocritical care, severe traumatic brain injury (TBI) is still a major cause of severe disability and mortality, with increasing incidence worldwide. Antisecretory factor (AF), commercially available as Salovum®, has been shown to lower intracranial pressure (ICP) in experimental models of, e.g., TBI and herpes encephalitis. The aim of this

Nature-based Solutions to Urban Microclimate Regulation

Understanding the microclimate in a given site influences the preconditions of sustainable development in many ways. Cold and strong winds in the winter will, for example, intensify the energy use in buildings depending on the air tightness of the building enclosure (Bagge et al., 2011), and in areas close to the seafront strong salty winds may also increase the wear and tear on building materials

A Clash with the System : Experiences of teaching film and media production in the south of Sweden

As a by-product of a meeting between my university’s vice-chancellor and the manager of the largest bank in the small southern town of Ystad in 2006, I, almost accidentally, soon after came to commence teaching and researching media production, production studies, media industries studies or film and media industry studies, as the subject finally came to be called at Lund. The teaching part involv

Therapy Effects in Cerebral Folate Transport Deficiency with Hypomyelination Monitored by Multimodal Quantitative MR-Imaging

Myelin-sensitive quantitative (q) MRI techniques including MT (3D FLASH) and DTI (single-shot STEAM) are of growing importance to study white matter (WM) disorders in childhood. Cerebral folate transport deficiency is an inherited, treatable WM disorder with hypomyelination, developmental regression, movement disturbances, and epilepsy. One patient with this diagnosis and severe phenotype was trea

On Author, Copyright and Originality: does the unified EU originality standard correspond to the digital reality in Wikipedia?

This article is contributing to the future of copyright law debate by exploring the recently harmonised originality standard in the EU copyright law and its suitability to a creative sharing community of Wikipedia. It shows that the “free creative choices” and “author’s personal” touch criteria established by the CJEU might be unsuitable not only because of practical concerns, but also because the

Kan det finnas cyanotoxiner i dricksvatten? / Are there cyanotoxins in the drinking water?

Denna studie syftar till att preliminärt utvärdera förändringar i risken för cyanobakteriella blomningar i en eutrof sjö, Vombsjön, som ligger i södra Sverige och testa hur näringsämnen (fosfor och kväve) påverkar algväxten. Ytvatten som sjöar har stor betydelse för dricksvattenförsörjningen, till exempel hälften av dricksvattnet i Sverige är från ytvatten. Enligt riskmatrisen har Vombsjön en storThis study aims to preliminarily evaluate changes in the risk of cyanobacterial blooms in a eutrophic lake, Lake Vombsjön, in the southern Sweden and test the role of nutrients (phosphorus and nitrogen) in algae formation. Surface water such as lakes service great importance for drinking water supply, such as half of the drinking water in Sweden is from surface water. According to risk matrix, Lak

TruSDN: Bootstrapping Trust in Cloud Network Infrastructure

Software-Defined Networking (SDN) is a novel architectural model for cloud network infrastructure, improving resource utilization, scalability and administration. SDN deployments increasingly rely on virtual switches executing on commodity operating systems with large code bases, which are prime targets for adversaries attacking the network infrastructure. We describe and implement TruSDN , a fram

Assessing cereal grain quality with a fully automated instrument using artificial neural network processing of digitized color video images

A fully integrated instrument for cereal grain quality assessment is presented. Color video images of grains fed onto a belt are digitized. These images are then segmented into kernel entities, which are subject to the analysis. The number of degrees of freedom for each such object is decreased to a suitable level for Artificial Neural Network (ANN) processing. Feed- forward ANN's with one hidden

Numerical analysis on thermal performance of cooling plates with wavy channels in PEM fuel cells

Purpose: The purpose of this paper is to investigate the thermal performance of the cooling plates with conventional straight channel and wavy channel designs. Design/methodology/approach: A three-dimensional model involving coupled fluid flow and heat transfer processes is developed to study the thermal performance of the cooling plates. The effects of wavelength and amplitude on the cooling perf

Slaps, Punches, Pinches -- But not Violence: Boundary Work in Nursing Homes for the Elderly

The article presents an analysis of boundary work within the context of care for the elderly, where violence appears to be widespread though still relatively unacknowledged. By resorting to certain descriptive – often jocular – modes, the staff designate aggressive acts committed by patients as 'non-violent'. This occurs although intent, responsibility, and injury – all common criteria associated

Implementing Electronic Management of Assessment and Feedback in Higher Education

All assessments are events within a process that has the goal of making decisions about instruction, learning, curriculum, students, institutions, and consequences. Three underlying disciplines (i.e., psychometrics, psychology, and sociology) inform the evaluation of assessments. Error is ubiquitous in the selection of tasks that constitute an assessment, the administration, marking, reporting, an

AI-Driven Drug Response Prediction for Personalized Cancer Medicine

Artificial intelligence (AI) has been used to develop drug sensitivity prediction models, raising the opportunity of using it for personalized cancer medicine. This chapter describes recent advancements in drug response prediction methods using machine learning algorithms. Pharmacogenomic datasets come with different types of biological data including genetic mutations, gene expression, copy numbe