Evaluation of a smart system for the optimization of logistics performance of a pruning biomass value chain

The paper presents a report on the performance evaluation of a newly developed smart logistics system (SLS). Field tests were conducted in Spain, Germany, and Sweden. The evaluation focused on the performance of a smart box tool (used to capture information during biomass transport) and a web-based information platform (used to monitor the flow of agricultural pruning from farms to end users and associated information flow). The tests were performed following a product usability testing approach, considering both qualitative and quantitative parameters. The detailed performance evaluation included the following: systematic analysis of 41 recordable parameters (stored in a spreadsheet database), analysis of feedback and problems encountered during the tests, and overall quality analysis applying the product quality model adapted from ISO/IEC FDIS 9126-1 standard. The data recording and storage and the capability to support product traceability and supply chain management were found to be very satisfactory, while assembly of smart box components (mainly the associated cables), data transferring intervals, and manageability could be improved. From the data retrieved during test activities, in more than 95% of the parameters within 41 columns, the expected values were displayed correctly. Some errors were observed, which might have been caused mainly by barriers that could hinder proper data recording and transfer from the smart box to the central database. These problems can be counteracted and the performance of the SLS can be improved so that it can be upgraded to be a marketable tool that can promote sustainable biomass-to-energy value chains

Green function techniques in the treatment of quantum transport at the molecular scale

The theoretical investigation of charge (and spin) transport at nanometer length scales requires the use of advanced and powerful techniques able to deal with the dynamical properties of the relevant physical systems, to explicitly include out-of-equilibrium situations typical for electrical/heat transport as well as to take into account interaction effects in a systematic way. Equilibrium Green function techniques and their extension to non-equilibrium situations via the Keldysh formalism build one of the pillars of current state-of-the-art approaches to quantum transport which have been implemented in both model Hamiltonian formulations and first-principle methodologies. We offer a tutorial overview of the applications of Green functions to deal with some fundamental aspects of charge transport at the nanoscale, mainly focusing on applications to model Hamiltonian formulations.Comment: Tutorial review, LaTeX, 129 pages, 41 figures, 300 references, submitted to Springer series "Lecture Notes in Physics

Risk classification at diagnosis predicts post-HCT outcomes in intermediate-, adverse-risk, and KMT2A-rearranged AML

Little is known about whether risk classification at diagnosis predicts post-hematopoietic cell transplantation (HCT) outcomes in patients with acute myeloid leukemia (AML). We evaluated 8709 patients with AML from the CIBMTR database, and after selection and manual curation of the cytogenetics data, 3779 patients in first complete remission were included in the final analysis: 2384 with intermediate-risk, 969 with adverse-risk, and 426 with KMT2A-rearranged disease. An adjusted multivariable analysis detected an increased risk of relapse for patients with KMT2A-rearranged or adverse-risk AML as compared to those with intermediate-risk disease (hazards ratio [HR], 1.27; P 5.01; HR, 1.71; P,.001, respectively). Leukemia-free survival was similar for patients with KMT2A rearrangement or adverse risk (HR, 1.26; P 5.002, and HR, 1.47; P,.001), as was overall survival (HR, 1.32; P,.001, and HR, 1.45; P,.001). No differences in outcome were detected when patients were stratified by KMT2A fusion partner. This study is the largest conducted to date on post-HCT outcomes in AML, with manually curated cytogenetics used for risk stratification. Our work demonstrates that risk classification at diagnosis remains predictive of post-HCT outcomes in AML. It also highlights the critical need to develop novel treatment strategies for patients with KMT2A-rearranged and adverse-risk disease

Smart System for the Optimization of Logistics Performance of the Pruning Biomass Value Chain

Agricultural pruning biomass is one of the important resources in Europe for generating renewable energy. However, utilization of the agricultural residues requires development of efficient and effective logistics systems. The objective of this study was to develop smart logistics system (SLS) appropriate for the management of the pruning biomass supply chain. The paper describes the users’ requirement of SLS, defines the technical and functional requirements and specifications for the development of SLS, and determines relevant information/data to be documented and managed by the SLS. This SLS has four major components: (a) Smart box, a sensor unit that enables measurement of data such as relative humidity, temperature, geographic positions; (b) On-board control unit, a unit that performs route planning and monitors the recordings by the smart box; (c) Information platform, a centralized platform for data storing and sharing, and management of pruning supply chain and traceability; and (d) Central control unit, an interface linking the Information platform and On-board control unit that serves as a point of administration for the whole pruning biomass supply chain from harvesting to end user. The SLS enables the improvement of performance of pruning biomass supply chain management and product traceability leading to a reduction of product loss, increased coordination of resources utilisation and quality of solid biofuel supply, increased pruning marketing opportunity, and reduction of logistics cost. This SLS was designed for pruning biomass, but could also be adapted for any type of biomass-to-energy initiatives

Developing adaptive capacity through reflexivity: lessons from collaborative research with a UK water utility

This paper develops debates about reflexivity and its role in adaptive management and collaborative research through recounting the case of an action research project aiming to support water utilities in adapting to climate change. The project sought to produce ‘usable’ knowledge about adaptation through interpretive social scientists working closely with water utility practitioners operating within a positivist knowledge context. Developing the work of Stirling, Voß and Kemp, the paper identifies four challenges arising from this collaboration. We have named these the challenges of difference, integrity, fit and valid knowledge. Each challenge was addressed through reflexive processes of first opening up debate and then closing down discussion by identifying routes for action. The paper argues that these same challenges may pose difficulties and hence require careful consideration in other collaborative projects that cross not only the interpretive-positivist but also the research–practice divide. We conclude that if collaborations are to be maintained, making things less comfortable and more reflexive must be cautious, based on strong relations of trust and willingness to, at times, compromise on what one believes is ‘usable’ knowledge

The complementarity norm: service provision by the welfare state and voluntary organisations in Sweden

Previous research has shown that different providers of social welfare tend to provide complementary services at a local level, but that there is no complete task specialisation. This means that elements of complementarity theory are challenged, especially the so-called 'principle of matching', i.e. that actors only undertake tasks which match their characteristics. The aim of the present study was to explore complementarity between Swedish local authorities and voluntary organisations in their support for relatives of older people. Interviews were carried out with 55 politicians, civil servants and representatives of voluntary organisations drawn from four municipalities. These municipalities were selected from a sampling frame that ensured representation of different combinations of high and low levels of voluntary and statutory services. Qualitative analysis of interview transcripts showed that, while local authorities are seen as responsible for the support for relatives, voluntary organisations are expected to be complementary, offering 'the icing on the cake', i.e. social support and activities which are regarded as less demanding. Overall, substantial support for a norm of complementarity was found. It is argued that, if those who are active in social policy and voluntary work at a local level agree with the ideal of complementarity, this will influence their wish to arrange activities and services. Therefore, the complementarity norm – rather than the principle of matching – influences the outcome in terms of service provision.</p