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Postanoxic electrographic status epilepticus and serum biomarkers of brain injury

Aim: To explore if electrographic status epilepticus (ESE) after cardiac arrest causes additional secondary brain injury reflected by serum levels of two novel biomarkers of brain injury: neurofilament light chain (NfL) originating from neurons and glial fibrillary acidic protein (GFAP) from glial cells. Methods: Simplified continuous EEG (cEEG) and serum levels of NfL and GFAP, sampled at 24, 48

Role of ZNF224 in c-Myc repression and imatinib responsiveness in chronic myeloid leukemia

The transcription factor ZNF224 plays a key proapoptotic role in chronic myelogenous leukemia (CML), by modulating Wilms Tumor protein 1 (WT1) dependent apoptotic genes transcription. Recently, we demonstrated that Bcr-Abl signaling represses ZNF224 expression in Bcr-Abl positive CML cell lines and in CML patients. Interestingly, Imatinib and second-generation tyrosine kinase inhibitors specifical

Variation of satellite estimated LAI due to the impact of the ground vegetation cover

The contribution of the understorey vegetation to the spectral reflectance from the top of a forest canopy was investigated by the use of a forest canopy reflectance model. Detailed field data, i.e. forest leaf area index (LAI), tree structural parameters like the height, diameter and crown length of the trees, and the composition, distribution and reflectance of the forest floor, was collected fo

A cognitive semiotics approach to the analysis of street art : The case of Athens

This paper is part of my ongoing doctoral research centered on “Street Art and Cognitive Semiotics: The case of Athens” at the division of Cognitive Semiotics at Lund University. More concretely, in this article, a fresh approach, based on a constructive (verbo-) pictorial argument, is taken to attending the relationship between a cognitive semiotics approach and street art signs in a programmatic

Improving a real-time object detector with compact temporal information

Neural networks designed for real-time object detectionhave recently improved significantly, but in practice, look-ing at only a single RGB image at the time may not be ideal.For example, when detecting objects in videos, a foregrounddetection algorithm can be used to obtain compact temporaldata, which can be fed into a neural network alongside RGBimages. We propose an approach for doing this, bas

Head computed tomography for prognostication of poor outcome in comatose patients after cardiac arrest and targeted temperature management

INTRODUCTION: A multimodal approach to prognostication of outcome after cardiac arrest (CA) is recommended. Evidence for combinations of methods is low. In this post-hoc analysis we described findings on head computed tomography (CT) after CA. We also examined whether generalised oedema on CT alone or together with the biomarker Neuron-specific enolase (NSE) could predict poor outcome.METHODS: Pat

Planting to feed the city? : Agricultural production, food security and multi-spatial livelihoods among urban households in Ghana

The 2010 population and housing census in Ghana revealed that more than half of the Ghanaian population lived in urban centers. Critical to the phenomenon of urbanization is the question of how to sustainably feed the urban population especially the urban poor as rapid urbanization has the tendency to urbanize poverty. This has led to renewed policy debate about the implications of farming in citi

Empirical Estimates of the Lead Time Distribution for Prostate Cancer Based on Two Independent Representative Cohorts of Men Not Subject to Prostate-Specific Antigen Screening.

BACKGROUND: Lead time, the estimated time by which screening advances the date of diagnosis, is used to calculate the risk of overdiagnosis. We sought to describe empirically the distribution of lead times between an elevated prostate-specific antigen (PSA) and subsequent prostate cancer diagnosis. METHODS: We linked the Swedish cancer registry to two independent cohorts: 60-year-olds sampled in 1

Autoimmune (type 1) diabetes

Autoimmune (type 1) diabetes mellitus is a chronic disease without a cure. It affects primarily young people but may be diagnosed at any age. Strong genetic susceptibility characterizes the most common form of autoimmune diabetes in children younger than 18 years of age. Autoimmune diabetes is generally assumed to be hereditary, although the majority of patients do not have a family history of aut

EGFR modulates complement activation in head and neck squamous cell carcinoma

Background: The epidermal growth factor receptor (EGFR) is pivotal for growth of epithelial cells and is overexpressed in several epithelial cancers like head and neck squamous cell carcinoma (HNSCC). EGFR signalling is also involved in diverse innate immune functions in epithelia. We previously found a role for EGFR in modulating the complement system in skin, this prompted an investigation into

Replicating projects for comparative research: Mistra Urban Futures’ experiences with comparative work on knowledge exchange, food and transport

This chapter discusses three comparative projects that were all, at least partially, created through the replication of research across the Mistra Urban Futures cities. A typology of six possible models was developed, illustrating how comparative transdisciplinary knowledge co-production could take place across multiple cities, and the second of these approaches was identified as “local projects r

Test Planning for Core-based 3D Stacked ICs under Power Constraints

Test planning for core-based 3D stacked ICs under power constraint is different from test planning for non-stacked ICs as the same test schedule cannot be applied both at wafer sort and package test. In this paper, we assume a test flow where each chip is tested individually at wafer sort and jointly at package test. We define cost functions and test planning optimization algorithms for non-stacke

Dynamic Logics for Threshold Models and their Epistemic Extension

We take a logical approach to threshold models , used to study the diffusion of e.g. new technologies or behaviors in social net-works. In short, threshold models consist of a network graph of agents connected by a social relationship and a threshold to adopt a possibly cascading behavior. Agents adopt new behavior when the proportion of their neighbors who have already adopted it meets the thresh

Paralympic athletes’ perceptions of their experiences of sports-related injuries, risk factors and preventive possibilities

Our knowledge of sports-related injuries in para-sport is limited and there are no data on how Paralympic athletes themselves perceive an injury. The aim of this qualitative study was to explore Paralympic athletes’ perceptions of their experiences of sports-related injuries, risk factors and preventive possibilities. Eighteen Swedish Paralympic athletes with vision impairment, intellectual impair

An Overview of Knowledge Extraction Projects in the NLP group at Lund University

In this paper, I describe systems and prototypes we created in the natural language processing group at Lund to extract structured knowledge from text. Starting from syntactic and semantic parsingcomponents,wedevelopedapplicationsthatcanhandlelargecorpora,typicallycomplete Wikipedia versions consisting of millions of documents and process text to identify entities and the relations between them. I