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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

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

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

R&D related foreign direct investments represent a powerful mechanism for cross-border knowledge sharing that can stimulate the process of technological catch-up. However, low-income countries and smaller middle-income countries remain largely excluded from this kind of global flows of knowledge. In this chapter, we discuss the motivations and implications of this type of FDI for low and middl

Rice, as one of the most important crops in the world, is facing an ever-accelerating challenge from climate change. Epigenetic modification with its substantially high epimutation rate and the possibility for some epigenetic variation to act as a heritable contributor to crop environmental adaptability may hold great potentials for rapid crop breeding. Epigenetic modification is controlled by epi

Living labs and co-production are increasingly popular strategies for universities to address sustainability challenges and yet the links between them remain largely implicit. This paper discusses the potential of living labs to provide a holistic and iterative framework for the co-production of knowledge. The University Living Lab initiative was launched in 2012 to transform the University of Man

MOTIVATION: Gene expression-based multiclass prediction, such as tumor subtyping, is a non-trivial bioinformatic problem. Most classifier methods operate by comparing expression levels relative to other samples. Methods that base predictions on the expression pattern within a sample have been proposed as an alternative. As these methods are invariant to the cohort composition and can be applied to