Building Ownership, Renovation Investments, and Energy Performance—A Study of Multi-Family Dwellings in Gothenburg

The European building stock was renewed at a rapid pace during the period 1950–1975. In many European countries, the building stock from this time needs to be renovated, and there are opportunities to introduce energy efficiency measures in the renovation process. information availability and increasingly available analysis tools make it possible to assess the impact of policy and regulation. This article describes methods developed for analyzing investments in renovation and energy performance based on building ownership and inhabitant socio-economic information developed for Swedish authorities, to be used for the Swedish national renovations strategy in 2019. This was done by analyzing measured energy usage and renovation investments made during the last 30 years, coupled with building specific official information of buildings and resident area characteristics, for multi-family dwellings in Gothenburg (N = 6319). The statistical analyses show that more costly renovations lead to decreasing energy usage for heating, but buildings that have been renovated during the last decades have a higher energy usage when accounting for current heating system, ownership, and resident socio-economic background. It is appropriate to include an affordability aspect in larger renovation projects since economically disadvantaged groups are over-represented in buildings with poorer energy performance

Crossover from time-correlated single-electron tunneling to that of Cooper pairs

We have studied charge transport in a one-dimensional chain of small Josephson junctions using a single-electron transistor. We observe a crossover from time-correlated tunneling of single electrons to that of Cooper pairs as a function of both magnetic field and current. At relatively high magnetic field, single-electron transport dominates and the tunneling frequency is given by f=I/e, where I is the current through the chain and e is the electron's charge. As the magnetic field is lowered, the frequency gradually shifts to f=I/2e for I>200 fA, indicating Cooper-pair transport. For the parameters of the measured sample, we expect the Cooper-pair transport to be incoherent.Comment: 5 pages, 4 figures; v2: minor changes, clarifications, addition

Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks

The undesirable legacy of radioactive concrete (blue concrete) in post-war dwellings contributes to increased indoor radon levels and health threats to occupants. Despite continuous decontamination efforts, blue concrete still remains in the Swedish building stock due to low traceability as the consequence of lacking systematic documentation in technical descriptions and drawings and resource-demanding large-scaled radiation screening.The paper aims to explore the predictive inference potential of learning Bayesian networks for evaluating the presence probability of blue concrete. By integrating blue concrete records from indoor radon measurements, pre-demolition audit inventories, and building registers, it is possible to estimate buildings with high probabilities of containing blue concrete and encode the dependent relationships between variables. The findings show that blue concrete is estimated to be present in more than 30% of existing buildings, more than the current expertassumptions of 18–20%. The probability of detecting blue concrete depends on the distance to historical blue concrete manufacturing plants, building class, and construction year, but it is independent of floor area and basements. Multifamily houses and buildings built between 1960 and 1968 or nearby manufacturing plants are more likely to contain blue concrete. Despite heuristic, the data-driven approach offers an overview of the extent and the probability distribution of blue concrete-prone buildings in the regional building stock. The paper contributes to method development for pattern identification for hazardous building materials, i.e., blue concrete, and the trained models can be used for risk-based inspection planning before renovation and selective demolition

Beyond rotamers: a generative, probabilistic model of side chains in proteins.

RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.BACKGROUND: Accurately covering the conformational space of amino acid side chains is essential for important applications such as protein design, docking and high resolution structure prediction. Today, the most common way to capture this conformational space is through rotamer libraries - discrete collections of side chain conformations derived from experimentally determined protein structures. The discretization can be exploited to efficiently search the conformational space. However, discretizing this naturally continuous space comes at the cost of losing detailed information that is crucial for certain applications. For example, rigorously combining rotamers with physical force fields is associated with numerous problems. RESULTS: In this work we present BASILISK: a generative, probabilistic model of the conformational space of side chains that makes it possible to sample in continuous space. In addition, sampling can be conditional upon the protein's detailed backbone conformation, again in continuous space - without involving discretization. CONCLUSIONS: A careful analysis of the model and a comparison with various rotamer libraries indicates that the model forms an excellent, fully continuous model of side chain conformational space. We also illustrate how the model can be used for rigorous, unbiased sampling with a physical force field, and how it improves side chain prediction when used as a pseudo-energy term. In conclusion, BASILISK is an important step forward on the way to a rigorous probabilistic description of protein structure in continuous space and in atomic detail

Feature- and classification analysis for detection and classification of tongue movements from single-trial pre-movement EEG

Individuals with severe tetraplegia can benefit from brain-computer interfaces (BCIs). While most movement-related BCI systems focus on right/left hand and/or foot movements, very few studies have considered tongue movements to construct a multiclass BCI. The aim of this study was to decode four movement directions of the tongue (left, right, up, and down) from single-trial pre-movement EEG and provide a feature and classifier investigation. In offline analyses (from ten individuals without a disability) detection and classification were performed using temporal, spectral, entropy, and template features classified using either a linear discriminative analysis, support vector machine, random forest or multilayer perceptron classifiers. Besides the 4-class classification scenario, all possible 3-, and 2-class scenarios were tested to find the most discriminable movement type. The linear discriminant analysis achieved on average, higher classification accuracies for both movement detection and classification. The right- and down tongue movements provided the highest and lowest detection accuracy (95.3±4.3% and 91.7±4.8%), respectively. The 4-class classification achieved an accuracy of 62.6±7.2%, while the best 3-class classification (using left, right, and up movements) and 2-class classification (using left and right movements) achieved an accuracy of 75.6±8.4% and 87.7±8.0%, respectively. Using only a combination of the temporal and template feature groups provided further classification accuracy improvements. Presumably, this is because these feature groups utilize the movement-related cortical potentials, which are noticeably different on the left- versus right brain hemisphere for the different movements. This study shows that the cortical representation of the tongue is useful for extracting control signals for multi-class movement detection BCIs

En walkshop i Lindängen

För att understödja attraktiv kollektivtrafik och bra förbindelser mellan olika bo-stadsområden är det viktigt att miljön stödjer gående. Walkshop är ett pedagogiskt koncept utvecklat i syfte att främja utbytet mellan forskning, utbildning och prak-tik avseende utformning av stadsmiljö för. Syftet med Walkshop Lindängen var att undersöka hur utemiljön i Lindängen stödjer gåendet inom området. Walkshopen omfattade en och en halvdags schemalagd aktivitet inkluderade föreläsningar från forskning och praktik, fältarbete i form av strukturerade gåturer samt ett seminari-um där resultatet från fältarbetet diskuterades. Studentgruppen bedömde platserna som medelgoda i de flesta avseenden. Två platser fick något högre värdering på grund av att miljöerna var bättre skötta och/eller hade mer vegetation. I övrigt upplevdes miljöerna som trygga, men tråkiga. Utvecklingen av stråken kräver ett samarbete mellan kommunen och de olika fastighetsägarna. För en fördjupad kun-skap om hur attraktiv miljön är för gående krävs sannolikt undersökningar där de boende deltar

Essential role for CD103 in the T cell–mediated regulation of experimental colitis

The integrin CD103 is highly expressed at mucosal sites, but its role in mucosal immune regulation remains poorly understood. We have analyzed the functional role of CD103 in intestinal immune regulation using the T cell transfer model of colitis. Our results show no mandatory role for CD103 expression on T cells for either the development or CD4+CD25+ regulatory T (T reg) cell–mediated control of colitis. However, wild-type CD4+CD25+ T cells were unable to prevent colitis in immune-deficient recipients lacking CD103, demonstrating a nonredundant functional role for CD103 on host cells in T reg cell–mediated intestinal immune regulation. Non–T cell expression of CD103 is restricted primarily to CD11chighMHC class IIhigh dendritic cells (DCs). This DC population is present at a high frequency in the gut-associated lymphoid tissue and appears to mediate a distinct functional role. Thus, CD103+ DCs, but not their CD103− counterparts, promoted expression of the gut-homing receptor CCR9 on T cells. Conversely, CD103− DCs promoted the differentiation of IFN-γ–producing T cells. Collectively, these data suggest that CD103+ and CD103− DCs represent functionally distinct subsets and that CD103 expression on DCs influences the balance between effector and regulatory T cell activity in the intestine

GTN-P borehole data management towards global assessment of permafrost temperature change

In 1999, the International Permafrost Association (IPA) established the Global Terrestrial Network for Permafrost (GTN-P, gtnp.org). The goal of the network is systematic and long-term documentation of the distribution, variability, and trends of permafrost (an Essential Climate Variable, ECV) based on a global network of field measurements. The two current cryospheric indicators are permafrost temperature and active layer thickness, throughout the Earth’s permafrost regions. The network has been mainly operated by scientist and research institutions and programs. GTN-P developed a Data Management System (gtnpdatabase.org) for the collection, processing (including standardisation), and dissemination of permafrost data and metadata. Recent ground temperature and active layer thickness data are being compiled to provide an update to the current permafrost state. GTN-P is part of the Global Climate Observing System (GCOS) Global Terrestrial Observing System (GTOS). GCOS is a joint undertaking of the World Meteorological Organization (WMO), the Intergovernmental Oceanographic Commission (IOC) of the United Nations Educational Scientific and Cultural Organization (UNESCO), the United Nations Environment Programme (UNEP) and the International Council for Science (ICSU). Permafrost temperature measurements, commonly performed with permanently installed multi-thermistor cables in boreholes, enable a good accuracy of 0.1°C. The logger resolution and measurement frequency, however, varies with the type and the depth of the individual borehole. Due to high geomorphological surface and subground dynamics, the relative vertical position of testing probes can change and bias the depth indications of old boreholes in sensitive areas. Most important quality concerns are measurement accuracy, zero annual amplitude depth, data gaps, incomplete time series, and spatial clustering of boreholes. We developed a methodological approach to filter the data by defined quality rules in order to calculate global to regional weighted averages of permafrost temperature anomalies. In this presentation we aim to give an overview on the systematical data pathway from borehole principal investigators over National Correspondents in GTN-P, followed by data processing algorithms in the GTN-P DMS towards quality checked time series data