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This paper attempts to assemble a conceptual framework for understanding to what extent an energy technology is simply a way of putting nature to work, and to what extent it is a way of putting other segments of global society to work. The turn to fossil energy reversed the relation between energy and space, as fossil fuels henceforth propelled new transport technologies that provided access to in
In this contribution a practical and rational decision-making approach is presented to be applied for common bridges typically managed by public authorities. The authors have developed a model with the intention to be applicable for practical cases for common bridges in the daily work of bride operators responsible for a large number of assets, yet still maintain the principles of more generic fra
As urban systems continue to grow worldwide, urban peripheries increase in number and typologies, which makes their planning a challenge for sustainable development. The aim of this article is to explore approaches and challenges related to the application of sustainable planning to urban peripheries. We reviewed the content of 102 papers related to sustainable planning in urban peripheries by app
A key task in the ESMERALDA project dealt with identifying appropriate case studies to test the ‘flexible methodology’ in its different stages of development. Case studies consist of working examples in which mapping and assessment of ecosystem services were applied to address specific decision-making problems. Testing is understood as an iterative process of co-learning that involves project part
A new approach to understanding the interaction between cortical areas is provided by a mathematical analysis of biased competition, which describes many interactions between cortical areas, including those involved in top-down attention. The analysis helps to elucidate the principles of operation of such cortical systems, and in particular the parameter values within which biased competition oper
The aim of this work is the development of a thermodynamically consistent fully coupled thermo-viscoplastic material model for metals undergoing finite deformation and large temperature changes.The deformation gradient is supposed to be decomposable into a thermal, an elastic, and a plastic part, where purely volumetric thermal expansion and isochoric plastic distortion is assumed. The model is ba
Pavement data collection is the most expensive and time consuming component of Pavement Management System (PMS). Thus, possible methods of minimizing the need of such data might be critical in reducing pavement condition monitoring costs. Also the ability to relate pavement performance prediction models (frequently roughness based) to hot mix asphalt field performance models (distress based) provi
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
