Innovation, low energy buildings and intermediaries in Europe: systematic case study review

As buildings throughout their lifecycle account for circa 40% of total energy use in Europe, reducing energy use of the building stock is a key task. This task is, however, complicated by a range of factors, including slow renewal and renovation rates of buildings, multiple non- coordinated actors, conservative building practices, and limited competence to innovate. Drawing from academic literature published during 2005-2015, this article carries out a systematic review of case studies on low energy innovations in the European residential building sector, analysing their drivers. Specific attention is paid to intermediary actors in facilitating innovation processes and creating new opportunities. The study finds that qualitative case study literature on low energy building innovation has been limited, particularly regarding the existing building stock. Environmental concerns, EU, national and local policies have been the key drivers; financial, knowledge and social sustainability and equity drivers have been of modest importance; while design, health and comfort, and market drivers have played a minor role. Intermediary organisations and individuals have been important through five processes: (1) facilitating individual building projects, (2) creating niche markets, (3) implementing new practices in social housing stock, (4) supporting new business model creation, and (5) facilitating building use post construction. The intermediaries have included both public and private actors, while local authority agents have acted as intermediaries in several cases

Titanium Dioxide Nanoparticles: Synthesis, X-Ray Line Analysis and Chemical Composition Study

TiO2 nanoparticleshave been synthesized by the sol-gel method using titanium alkoxide and isopropanolas a precursor. The structural properties and chemical composition of the TiO2 nanoparticles were studied usingX-ray diffraction, scanning electron microscopy, and X-ray photoelectron spectroscopy.The X-ray powder diffraction pattern confirms that the particles are mainly composed of the anatase phase with the preferential orientation along [101] direction.The physical parameters such as strain, stress and energy density were investigated from the Williamson- Hall (W-H) plot assuming a uniform deformation model (UDM), and uniform deformation energy density model (UDEDM). The W-H analysis shows an anisotropic nature of the strain in nanopowders. The scanning electron microscopy image shows clear TiO2 nanoparticles with particle sizes varying from 60 to 80nm. The results of mean particle size of TiO2 nanoparticles show an inter correlation with the W-H analysis and SEM results. Our X-ray photoelectron spectroscopy spectra show that nearly a complete amount of titanium has reacted to TiO2

Effect of β-glucan on serum levels of IL-12, hs-CRP, and clinical outcomes in multiple-trauma patients: A prospective randomized study �oklu travma hastalarda β �glukanın serum IL-12, hs-CRP de�erleri ve klinik sonuçları üzerine etkisi: Ileriye yönelik randomize çalı�ma

BACKGROUND: Trauma is associated with a profound immunological dysfunction. This predisposes patients to infections and adverse outcomes. β-glucan has been implicated in the initiation of anti-microbial immune response. The present study aimed to evaluate the effects of an enteral diet containing β-glucan on serum levels of IL-12 and highly-sensitive C-reactive protein (hs-CRP), occurrence of infection, and clinical outcomes in critically ill multiple-trauma patients. METHODS: Forty multiple-trauma patients requiring enteral nutrition for at least 10 days were randomly assigned to the intervention group (n=20) or the placebo group (n=20). The intervention group received a high-protein enteral diet providing 3 g β-glucan, and the control group received a similar diet, except for 3 g of maltodextrin as a placebo. Serum levels of IL-12 and hs-CRP were measured on days 0, 10, and 21. RESULTS: The β-glucan group showed significantly higher serum levels of IL-12 on day 21 compared to the control group. Infection frequency and duration of mechanical ventilation were significantly lower in the β-glucan group. A significant difference was found in the Sequential Organ Failure Assessment (SOFA) score in favor of the β-glucan group. No difference was found in the serum levels of hs-CRP, length of ICU stay, occurrence of infection, and mortality rates between the two groups. CONCLUSION: β-glucan may increase serum levels of IL-12, shorten the duration of mechanical ventilation, and reduce organ failure in critically ill multiple-trauma patients. © 2018 Turkish Association of Trauma and Emergency Surgery

WOODLAND MAPPING AT SINGLE-TREE LEVELS USING OBJECT-ORIENTED CLASSIFICATION OF UNMANNED AERIAL VEHICLE (UAV) IMAGES

Remotely sensed datasets offer a reliable means to precisely estimate biophysical characteristics of individual species sparsely distributed in open woodlands. Moreover, object-oriented classification has exhibited significant advantages over different classification methods for delineation of tree crowns and recognition of species in various types of ecosystems. However, it still is unclear if this widely-used classification method can have its advantages on unmanned aerial vehicle (UAV) digital images for mapping vegetation cover at single-tree levels. In this study, UAV orthoimagery was classified using object-oriented classification method for mapping a part of wild pistachio nature reserve in Zagros open woodlands, Fars Province, Iran. This research focused on recognizing two main species of the study area (i.e., wild pistachio and wild almond) and estimating their mean crown area. The orthoimage of study area was consisted of 1,076 images with spatial resolution of 3.47 cm which was georeferenced using 12 ground control points (RMSE=8 cm) gathered by real-time kinematic (RTK) method. The results showed that the UAV orthoimagery classified by object-oriented method efficiently estimated mean crown area of wild pistachios (52.09±24.67 m2) and wild almonds (3.97±1.69 m2) with no significant difference with their observed values (α=0.05). In addition, the results showed that wild pistachios (accuracy of 0.90 and precision of 0.92) and wild almonds (accuracy of 0.90 and precision of 0.89) were well recognized by image segmentation. In general, we concluded that UAV orthoimagery can efficiently produce precise biophysical data of vegetation stands at single-tree levels, which therefore is suitable for assessment and monitoring open woodlands