2,265 research outputs found

    Steelcase Green Product Development: An Early Stage Life Cycle Analysis Tool and Methodology

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    Steelcase, Inc., a U.S. based and globally operating furniture company, has a long history of environmental improvement throughout its processes and products. Because its products are the core source of these impacts, integrating environmental metrics into the product development process has become a critical effort at the company. Evaluating the environmental impacts of products can be challenging. Products are typically evaluated through a life cycle analysis (LCA) after design is complete. While this analysis is critical for public reporting and informing future products, a product cannot be revisited to improve performance once it is ready for production. Instead, evaluation of impacts needs to be an integral part of the product development process when materials, processes, and design options can be selected based in part on their expected environmental performance. This research looked at the feasibility of using a data‐driven environmental analysis tool, with the working title of Wizard for Environmental Life Cycle Evaluation (WELE), to reduce the time required for environmental decision making during product development and to minimize the uncertainty of evaluation results when a product design is incomplete. Based on discussions with Steelcase representatives, a beta version of the tool was created within an existing LCA software package and tested with Steelcase product developers to determine its usability. Additional research explored the integration of Steelcase‐specific evaluation methods and product data needed to increase the tool’s accuracy in reporting environmental impacts. Several iterations of the tool were developed and tested with Steelcase representatives in Grand Rapids, Michigan and Strasbourg, France as well as IDEO, an affiliated product design consulting firm. Separate product tests were also conducted using completed LCAs for existing Steelcase products. These tests included evaluation of the impacts on full product performance when generic versus company‐specific materials and processes were used. They also included modeling of the products in increasing detail to determine potential levels of reporting accuracy at each stage of product development. This research indicated that there is value in using a data‐driven approach to environmental analysis in early stage product development, but there are also several challenges. The product tests demonstrated that representative estimates of environmental impacts can be achieved in the early stages of product development, even when multiple design decisions remain to be made. Across the tests, environmental impacts represented at each stage of product development were compared with the products’ final LCA results. In the concept phase of development, 18 (or 32% with a modified product) – 63% of final impacts were represented. This moved up to 50 – 80% of impacts represented in the design phase, 62 – 92% represented in the engineering phase, and 95 – 99% represented in the final production phase. While these results were promising, several challenges also emerged regarding the tool’s usability as well as long term data collection and management. Therefore, while the data‐driven approach has many benefits, improvements to the non‐expert usability of LCA platforms and development of data collection efforts will be essential to optimize such an approach. Report No. CSS08‐01Master of ScienceNatural Resources and EnvironmentUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/58205/1/Caroline Conway CSS Thesis - Steelcase Green Product Dev.pd

    Avatars and arrows in the brain.

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    In this Commentary article we critically assess the claims made by Schurz, Kronbichler, Weissengrubler, Surtees, Samson and Perner (2015) relating to the neural processes underlying theory of mind and visual perspective taking. They attempt to integrate research findings in these two areas of social neuroscience using a perspective taking task contrasting mentalistic agents ('avatars'), with non-mentalistic control stimuli ('arrows'), during functional Magnetic Resonance Imaging. We support this endeavour whole-heartedly, agreeing that the integration of findings in these areas has been neglected in research on the social brain. However, we cannot find among the behavioural or neuroimaging data presented by Schurz et al. evidence supporting their claim of 'implicit mentalizing'-the automatic ascription of mental states to another representing what they can see. Indeed, we suggest that neuroimaging methods may be ill-suited to address the existence of implicit mentalizing, and suggest that approaches utilizing neurostimulation methods are likely to be more successful.This is the author accepted manuscript. It is currently under an indefinite embargo pending publication by Elsevier

    Novel theory of mind task demonstrates representation of minds in mental state inference

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    Theory of mind (ToM), the ability to represent the mental states of oneself and others, is argued to be central to human social experience, and impairments in this ability are thought to underlie several psychiatric and developmental conditions. To examine the accuracy of mental state inferences, a novel ToM task was developed, requiring inferences to be made about the mental states of ‘Targets’, prior participants who took part in a videoed mock interview. Participants also made estimates of the Targets’ personality traits. These inferences were compared to ground-truth data, provided by the Targets, of their true traits and mental states. Results from 55 adult participants demonstrated that trait inferences were used to derive mental state inferences, and that the accuracy of trait estimates predicted the accuracy of mental state inferences. Moreover, the size and direction of the association between trait accuracy and mental state accuracy varied according to the trait—mental state combination. The accuracy of trait inferences was predicted by the accuracy of participants’ understanding of trait covariation at the population level. Findings are in accordance with the Mind-space theory, that representation of the Target mind is used in the inference of their mental states

    Controlled, parametric, individualized, 2D and 3D imaging measurements of aerosol deposition in the respiratory tract of healthy human volunteers: in vivo data analysis

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    Background: To provide a validation dataset for aerosol deposition modeling, a clinical trial was performed in which the inhalation parameters and the inhaled aerosol were controlled or characterized.Methods: Eleven, healthy, never-smokers, male participants completed the study. Each participant performed two inhalations of 99mTc-labeled aerosol from a vibrating mesh nebulizer, which differed by a single controlled parameter (aerosol particle size: “small” or “large”; inhalation: “deep” or “shallow”; carrier gas: air or a helium–oxygen mix). The deposition measurements were made by planar imaging, and single photon emission computed tomography–computed tomography (SPECT-CT).Results: The difference between the mean activity measured by two-dimensional imaging and that delivered from the nebulizer was 2.7%, which was not statistically significant. The total activity deposited was significantly lower in the left lung than in the right lung (p&lt;0.0001) with a mean ratio (left/right) of 0.87±0.1 standard deviation (SD). However, when normalized to lung air volume, the left lung deposition was significantly higher (p=0.0085) with a mean ratio of 1.08±0.12 SD. A comparison of the three-dimensional central-to-peripheral (nC/P3D) ratio showed that it was significantly higher for the left lung (p&lt;0.0001) with a mean ratio (left/right) of 1.36±0.20 SD. The effect of particle size was statistically significant on the nC/P3D ratio (p=0.0014), extrathoracic deposition (p=0.0037), and 24-hr clearance (p&lt;0.0001), contrary to the inhalation parameters, which showed no effect.Conclusions: This article presents the results of an analysis of the in vivo deposition data, obtained in a clinical study designed to provide data for model validation. This study has demonstrated the value of SPECT imaging over planar, the influence of particle size on regional distribution within the lung, and differences in deposition between the left and right lungs.<br/

    Exploring the perceived impact of social support on the health behaviours of people living with and beyond cancer during the COVID-19 pandemic: a qualitative study

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    Purpose: Social support facilitated healthy behaviours in people living with and beyond cancer (LWBC) before the COVID-19 pandemic. Little is known about how social support impacted their health behaviours during the pandemic when social restrictions were imposed. The aim of this study was to qualitatively explore how social support was perceived to impact the health behaviours of people LWBC during the COVID-19 pandemic. / Methods: Semi-structured interviews were conducted via telephone with 24 adults living with and beyond breast, prostate and colorectal cancer. Inductive and deductive framework analysis was used to analyse the data. / Results: Five themes developed. These were (1) Companionship and accountability as motivators for physical activity, (2) Social influences on alcohol consumption, (3) Instrumental support in food practices, (4) Informational support as important for behaviour change and (5) Validation of health behaviours from immediate social networks. / Conclusion: This study described how companionship, social influence, instrumental support, informational support and validation were perceived to impact the health behaviours of people LWBC during the COVID-19 pandemic. Interventions for people LWBC could recommend co-participation in exercise with friends and family; promote the formation of collaborative implementation intentions with family to reduce alcohol consumption; and encourage supportive communication between partners about health behaviours. These interventions would be useful during pandemics and at other times. Government policies to help support clinically extremely vulnerable groups of people LWBC during pandemics should focus on providing access to healthier foods

    Towards Stratified Medicine in Plasma Cell Myeloma

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    Plasma cell myeloma is a clinically heterogeneous malignancy accounting for approximately one to 2% of newly diagnosed cases of cancer worldwide. Treatment options, in addition to long-established cytotoxic drugs, include autologous stem cell transplant, immune modulators, proteasome inhibitors and monoclonal antibodies, plus further targeted therapies currently in clinical trials. Whilst treatment decisions are mostly based on a patient’s age, fitness, including the presence of co-morbidities, and tumour burden, significant scope exists for better risk stratification, sub-classification of disease, and predictors of response to specific therapies. Clinical staging, recurring acquired cytogenetic aberrations, and serum biomarkers such as ÎČ-2 microglobulin, and free light chains are in widespread use but often fail to predict the disease progression or inform treatment decision making. Recent scientific advances have provided considerable insight into the biology of myeloma. For example, gene expression profiling is already making a contribution to enhanced understanding of the biology of the disease whilst Next Generation Sequencing has revealed great genomic complexity and heterogeneity. Pathways involved in the oncogenesis, proliferation of the tumour and its resistance to apoptosis are being unravelled. Furthermore, knowledge of the tumour cell surface and its interactions with bystander cells and the bone marrow stroma enhance this understanding and provide novel targets for cell and antibody-based therapies. This review will discuss the development in understanding of the biology of the tumour cell and its environment in the bone marrow, the implementation of new therapeutic options contributing to significantly improved outcomes, and the progression towards more personalised medicine in this disorder

    A taxonomy of theory of mind measures and their relationship with alexithymia

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    Theory of Mind (ToM), the ability to represent the mental states of oneself and others, is an essential social skill disrupted across many psychiatric conditions. The transdiagnostic nature of ToM impairment means it is plausible that ToM impairment is related to alexithymia (difficulties identifying and describing one’s own emotions), as alexithymia is seen across psychiatric conditions. Whilst many studies have examined links between alexithymia and ToM, results are mixed. Therefore, the purpose of this systematic review is to provide a taxonomy of ToM tests and assess their relationship with alexithymia. Tests are grouped according to whether they assess propensity to engage spontaneously in ToM or accuracy of ToM inferences, with tests further subdivided into those that do, and do not, require emotion recognition. A review of 63 suitable studies suggests that alexithymia is often associated with reduced ToM, and inaccurate ToM when tasks require emotion recognition. This latter finding appears due to impaired emotion recognition, rather than ToM impairment per se. Further directions and considerations for future research are discussed

    Atmospheric potential oxygen: New observations and their implications for some atmospheric and oceanic models

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    Measurements of atmospheric O2/N2 ratios and CO2 concentrations can be combined into a tracer known as atmospheric potential oxygen (APO ≈ O2/N2 + CO2) that is conservative with respect to terrestrial biological activity. Consequently, APO reflects primarily ocean biogeochemistry and atmospheric circulation. Building on the work of Stephens et al. (1998), we present a set of APO observations for the years 1996-2003 with unprecedented spatial coverage. Combining data from the Princeton and Scripps air sampling programs, the data set includes new observations collected from ships in the low-latitude Pacific. The data show a smaller interhemispheric APO gradient than was observed in past studies, and different structure within the hemispheres. These differences appear to be due primarily to real changes in the APO field over time. The data also show a significant maximum in APO near the equator. Following the approach of Gruber et al. (2001), we compare these observations with predictions of APO generated from ocean O2 and CO2 flux fields and forward models of atmospheric transport. Our model predictions differ from those of earlier modeling studies, reflecting primarily the choice of atmospheric transport model (TM3 in this study). The model predictions show generally good agreement with the observations, matching the size of the interhemispheric gradient, the approximate amplitude and extent of the equatorial maximum, and the amplitude and phasing of the seasonal APO cycle at most stations. Room for improvement remains. The agreement in the interhemispheric gradient appears to be coincidental; over the last decade, the true APO gradient has evolved to a value that is consistent with our time-independent model. In addition, the equatorial maximum is somewhat more pronounced in the data than the model. This may be due to overly vigorous model transport, or insufficient spatial resolution in the air-sea fluxes used in our modeling effort. Finally, the seasonal cycles predicted by the model of atmospheric transport show evidence of an excessive seasonal rectifier in the Aleutian Islands and smaller problems elsewhere. Copyright 2006 by the American Geophysical Union
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