Some Environmental Policy Implications of Recycling Paper Products in Western Europe

We live in a wasteful society, and are becoming increasingly aware of this fact. Our concern for conservation of our natural resources and about the deleterious effects on the environment of disposal of waste products is increasingly reflected in proposed legislation aimed at reducing waste. The preferred technique is recycling of waste products. While laudable in its objectives, a narrow focus on recycling is also limited, and can result in unexpected effects that can at least partially offset the expected benefits. This is particularly true of paper for at least three basic reasons. First, paper is a major component, about 35%, of household waste volume. Second, unlike most waste, paper has a very high energy content. And third, unlike coal or oil, paper is a renewable resource, and in Europe is produced mostly from forests managed on sustainable principles. This report summarizes a forthcoming feasibility study of large-scale paper recycling in Europe which investigated the entire production and disposal process using a "life-cycle" methodology and data base developed at IIASA

International intermediaries: A systematic literature review and research agenda

Intermediaries such as trading companies, agents and merchants have played a key role in international business for centuries. Despite the growing importance of understanding the phenomenon of intermediaries, there are misperceptions and confusions regarding the concept and value of intermediaries, which result in disconnected and fragmented research findings. This study – based on an analysis of 101 articles published between 1985 and 2021 – aims to synthesise the conceptual developments and provide a more integrated understanding of both sourcing and trading intermediaries whose activities extend across national borders. The findings help to pave the way for further academic research by highlighting what we currently know and do not know about intermediaries, outlining the theoretically grounded research agenda for each of the three identified themes: (1) What are intermediaries? (2) When should intermediaries be used? and (3) How do intermediaries work and develop? The study shows that despite decades of research on this topic, the literature to date has been limited and scattered. Researchers are encouraged to consider the role of intermediaries in a bigger picture where intermediated exchanges exist not only in dyadic relationships, but also in triads or even in broader webs of networks

Developing LCA-based benchmarks for sustainable consumption - for and with users

This article presents the development process of a consumer-oriented, illustrative benchmarking tool enabling consumers to use the results of environmental life cycle assessment (LCA) to make informed decisions. Active and environmentally conscious consumers and environmental communicators were identified as key target groups for this type of information. A brochure presenting the benchmarking tool was developed as an participatory, iterative process involving consumer focus groups, stakeholder workshops and questionnaire-based feedback. In addition to learning what works and what does not, detailed suggestions on improved wording and figures were obtained, as well as a wealth of ideas for future applications

Effects of Processing on the Microstructure of Oat (Avena Sativa) Bran Concentrate and the Physicochemical Properties of Isolated B-Glucans

Fluorescence microscopy was used to study the microstructure of oat cell walls during concentration of oat bran and isolation of ,B-glucans. The bran concentrate separated from c.v. Nasta contained mainly the aleurone and subaleurone endosperm layers, whereas that separated from a commercial bran mixture contained more endosperm . In contrast to Nasta, the commercial bran mixture contained ,B-glucan degrading enzymes, which survived the ,B-glucan isolation procedure. In the presence of enzymes, the solubility and yield of ,B-glucans improved but the viscosity decreased when it was measured at the same ,B-glucan concentration. For inactivation of the enzymes, 80% ethanol at 78 C was more effective than 80% or 94% ethanol at 60 •C or 94 % ethanol at 78 •c. The yield of 11-glucan extracted was higher from Nasta bran concentrate than from commercial bran concentrate, and after alkaline ex traction the Nasta solid residue exhibited intense red fluorescence in the aleurone and subaleurone endosperm cell walls. The solid residue from commercial bran had areas of starchy endosperm cell walls provided the B-glucan degrading enzymes were inactivated

Stability of multiquantum vortices in dilute Bose-Einstein condensates

Multiply quantized vortices in trapped Bose-Einstein condensates are studied using the Bogoliubov theory. Suitable combinations of a localized pinning potential and external rotation of the system are found to energetically stabilize, both locally and globally, vortices with multiple circulation quanta. We present a phase diagram for stable multiply quantized vortices in terms of the angular rotation frequency and the width of the pinning potential. We argue that multiquantum vortices could be experimentally created using these two expedients.Comment: 5 pages, 4 figure

Acidic cysteine endoproteinase cathepsin K in the degeneration of the superficial articular hyaline cartilage in osteoarthritis

Peer reviewe

Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation

Cine cardiac magnetic resonance (CMR) has become the gold standard for the non-invasive evaluation of cardiac function. In particular, it allows the accurate quantification of functional parameters including the chamber volumes and ejection fraction. Deep learning has shown the potential to automate the requisite cardiac structure segmentation. However, the lack of robustness of deep learning models has hindered their widespread clinical adoption. Due to differences in the data characteristics, neural networks trained on data from a specific scanner are not guaranteed to generalise well to data acquired at a different centre or with a different scanner. In this work, we propose a principled solution to the problem of this domain shift. Domain-adversarial learning is used to train a domain-invariant 2D U-Net using labelled and unlabelled data. This approach is evaluated on both seen and unseen domains from the M\&Ms challenge dataset and the domain-adversarial approach shows improved performance as compared to standard training. Additionally, we show that the domain information cannot be recovered from the learned features.Comment: Accepted at the STACOM workshop at MICCAI 202