Thermoelectric properties of lead chalcogenide core-shell nanostructures

We present the full thermoelectric characterization of nanostructured bulk PbTe and PbTe-PbSe samples fabricated from colloidal core-shell nanoparticles followed by spark plasma sintering. An unusually large thermopower is found in both materials, and the possibility of energy filtering as opposed to grain boundary scattering as an explanation is discussed. A decreased Debye temperature and an increased molar specific heat are in accordance with recent predictions for nanostructured materials. On the basis of these results we propose suitable core-shell material combinations for future thermoelectric materials of large electric conductivities in combination with an increased thermopower by energy filtering.Comment: 12 pages, 8 figure

Assessing sustainability in housing LED urban regeneration : insights from a housing association in Northern England

How far do current assessment methods allow the thorough evaluation of sustainable urban regeneration? Would it be useful, to approach the evaluation of the environmental and social impacts of housing regeneration schemes, by making both hidden pitfalls and potentials explicit, and budgeting costs and benefits in the stakeholders’ perspective? The paper aims at answering these questions, by focusing on a case study located in the Manchester area, the City West Housing Trust, a nonprofit housing association. Drawing from extensive fieldwork and including several interviews with key experts from this housing association, the paper first attempts to monetize the environmental and social value of two extant projects – a high-rise housing estate and an environmentally-led program. It then discusses whether and how a stakeholder-oriented approach would allow more engagement of both current and potential funders in the projects at hand. Findings from both the literature and the empirical data that was gathered show how in current housing regeneration processes, room for significant improvements in terms of assessment methods still exist. Findings additionally show that the environmental and social spillovers are largely disregarded because of a gap in the evaluation tools. This may also hinder the potential contributions of further funders in the achievements of higher impacts in terms of sustainability

Elderly Care and Digital Services: Toward a Sustainable Sociotechnical Transition

The elderly care system’s sustainability is one of the largest societal challenges of our time. Digitalization and the implementation of technologies in elderly care are viewed as offering possible solutions to the social and economic challenges of sustainability. This study’s objective is to examine the development, implementation, and diffusion of technologies in elderly care from a sociotechnical perspective, leaning on the concepts of sociotechnical transitions. The focus mainly is on sustainable niche development, including interactions between niches and regimes in terms of sustainable sociotechnical transitions, how niches are developed in relation to sustainability, and in which conditions and circumstances promising niches can contribute to regime change in elderly care. Through a multiple-case study in different living environments of elderly residents in Finland, we identify factors that facilitate or hinder sustainable development and the implementation and diffusion of technologies in elderly care. The three case studies concern various types of development: introduction of tablet computers in senior housing, construction of a multisensory room in a care home, and the use of a care robot in care homes and in a rehabilitation hospital. Critical factors for sustainable niche development include involving users in the development processes, as well as simultaneous development of technologies and services. The multifaceted and effective use of technologies requires time and resources. Critical factors in niche-regime interaction are, for example, factors relating to attitudes, as well as technologies’ maturity. The need to consider a wider perspective, rather than a singular disruption, is key.Post-print / Final draf

Redefining innovation processes: The digital designers at work

As design in digital innovation has become a thing, we highlight the inconclusive concepts that describe design activity in innovation processes. Proposing an alternative theoretical lens - a sociomaterial practice lens - we claim that this view can reveal the contribution of digital designers to the work of innovation. This paper draws on a research study with digital designers in the UK. At the same time as we begin to reconceptualise the ways digital design activity can be described, we also illustrate a theoretical framework based on 1) action and knowing as ordered by collectively produced objects, 2) sociomateriality and the configuration of human bodies and materials in action, 3) the co-emergence of objects and sociomaterial configurations where each is the condition of the other. This alternative way of looking at design activity may pose some challenges to the theoretical traditions in the field. We however believe that it contains immense potential too

Social and Cultural Sustainability: Criteria, Indicators, Verifier Variables for Measurement and Maps for Visualization to Support Planning

Policies on economic use of natural resources require considerations to social and cultural values. In order to make those concrete in a planning context, this paper aims to interpret social and cultural criteria, identify indicators, match these with verifier variables and visualize them on maps. Indicators were selected from a review of scholarly work and natural resource policies, and then matched with verifier variables available for Sweden’s 290 municipalities. Maps of the spatial distribution of four social and four cultural verifier variables were then produced. Consideration of social and cultural values in the studied natural resource use sectors was limited. The spatial distribution of the verifier variables exhibited a general divide between northwest and south Sweden, and regional rural and urban areas. We conclude that it is possible to identify indicators and match them with verifier variables to support inclusion of social and cultural values in planning

Ensemble-based methods for forecasting census in hospital units

BACKGROUND: The ability to accurately forecast census counts in hospital departments has considerable implications for hospital resource allocation. In recent years several different methods have been proposed forecasting census counts, however many of these approaches do not use available patient-specific information. METHODS: In this paper we present an ensemble-based methodology for forecasting the census under a framework that simultaneously incorporates both (i) arrival trends over time and (ii) patient-specific baseline and time-varying information. The proposed model for predicting census has three components, namely: current census count, number of daily arrivals and number of daily departures. To model the number of daily arrivals, we use a seasonality adjusted Poisson Autoregressive (PAR) model where the parameter estimates are obtained via conditional maximum likelihood. The number of daily departures is predicted by modeling the probability of departure from the census using logistic regression models that are adjusted for the amount of time spent in the census and incorporate both patient-specific baseline and time varying patient-specific covariate information. We illustrate our approach using neonatal intensive care unit (NICU) data collected at Women & Infants Hospital, Providence RI, which consists of 1001 consecutive NICU admissions between April 1st 2008 and March 31st 2009. RESULTS: Our results demonstrate statistically significant improved prediction accuracy for 3, 5, and 7 day census forecasts and increased precision of our forecasting model compared to a forecasting approach that ignores patient-specific information. CONCLUSIONS: Forecasting models that utilize patient-specific baseline and time-varying information make the most of data typically available and have the capacity to substantially improve census forecasts