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In type 1 diabetes, pancreatic beta cells are destroyed by chronic autoimmune responses. The disease develops in genetically susceptible individuals, but a role for environmental factors has been postulated. Viral infections have long been considered as candidates for environmental triggers but, given the lack of evidence for an acute, widespread, cytopathic effect in the pancreas in type 1 diabet
In this chapter, we discuss the need for deeper knowledge about the relation between people’s daily activities and their electricity use and how to increase our knowledge through time use surveys and the visualization of aggregate activity patterns. To understand people’s energy consumption and how to improve energy efficiency or reduce demand during certain peak hours requires an understanding of
Background: Recent studies have identified several single-nucleotide polymorphisms (SNPs) associated with the risk of breast cancer and parity and age at first childbirth are well established and important risk factors for breast cancer. The aim of the present study was to examine the interaction between these environmental factors and genetic variants on breast cancer risk. Methods: The Malmö Die
Background: Astrocytes produce and store the energy reserve glycogen. However, abnormal large glycogen units accumulate if the production or degradation of glycogen is disturbed, a finding often seen in patients with Alzheimer's disease (AD). We have shown increased activity of glycogen degrading α-amylase in AD patients and α-amylase positive glial cells adjacent to AD characteristic amyloid-β (A
Objective: The de-institutionalizing process came to an end before the millennium shift by closing mental hospitals. After that some of the most ill patients are cared for in sheltered housing (SH). There is no in-house psychiatric competence and the staff on the floor usually lacks such knowledge and training. Observation instruments may improve this by making it possible to assess and monitor pa
Respiratory diseases, such as chronic obstructive pulmonary disease and pulmonary fibrosis, result in severely impaired quality of life and impose significant burdens on healthcare systems worldwide. Current disease management involves pharmacologic interventions, oxygen administration, reduction of infections, and lung transplantation in advanced disease stages. An increasing understanding of mec
The fundamental premise for the present report is to examine the degree to which it is possible to predict compliance with future rules regarding environmental zones for passenger cars. This project combines the main quantitative survey study (Sub-study 1) with a semi-systematic literature review that is first and foremost based in a qualitative, thematic analysis (Sub-study 2).The survey study is
We report on a hybrid bioelectrochemical system that integrates an energy converting part, viz. a glucose/oxygen enzymatic fuel cell, with a charge-storing component, in which the redox features of the immobilized redox protein cytochrome c (cyt c) were utilized. Bilirubin oxidase and pyrroloquinoline quinone-dependent glucose dehydrogenase
Road Safety Audits (RSA) and Road Safety Inspections (RSI) are effective means of Road Infrastructure Safety Management. They are preventive tools, consisting of systematic, safety assessments, carried out by trained, independent safety expert teams, resulting in a formal report on detected road hazards and safety issues, requiring a formal response by the relevant road authority. Yet, current reg
Endovascular stents are widely used for the treatment of peripheral arterial disease (PAD). However, the development of in-stent restenosis and downstream PAD progression remain a challenge. Stent revascularisation of PAD causes arterial trauma and introduces abnormal haemodynamics, which initiate complicated biological processes detrimental to the arterial wall. The interaction between stent stru
In certain cases analytical derivation of physicsbased models of robots is difficult or even impossible. A potential workaround is the approximation of robot models fromsensor data-streams employing machine learning approaches.In this paper, the inverse dynamics models are learned byemploying a learning algorithm, introduced in [1], which isbased on reservoir computing in conjunction with self-org
The unique properties of metallic nanostructures of coinage metals that can sustain localized surface plasmon resonances (LSPR) put them at the centre of plasmon-enhanced phenomena. The theory of plasmonic phenomena based on LSPR is well-established. However, the fabrication of plasmonic substrates, reproducibly, is still challenging for applications in surface-enhanced Raman scattering (SERS) and
