4,108 research outputs found
Sequential release of lysosomal inflammation mediators and chemiluminescence response of stimulated polymorphonuclear leukocytes
Sustainability transitions in coastal shipping: The role of regime segmentation
Maritime transport has received little attention in sustainability transitions research. This sector is mature and heterogeneous, which suggests the need for a more nuanced perspective on socio-technical regimes to understand variation in conditions for adoption of novel technologies that may support sustainability transitions. We consider this important in order to develop more efficient policy to decarbonize the shipping sector. We develop a framework that explicitly differentiates task and institutional environment of user regimes, enabling us to identify regime segmentation and its influence on three key transition conditions: technology maturity and fit, system integration and infrastructure, and acceptability and legitimacy. We apply our framework to analyse development and uptake of battery-electric energy storage solutions within three segments (coastal ferry, coastal fishing, and offshore supply) of Norwegian coastal shipping. Our analysis suggests that the transition process unfolds along different pathways in different user segments, pointing to a need for segment-specific policy instruments
Quantification of human lactoferrin as an inflammation marker by an enzyme-linked immunosorbent assay (ELISA)
How a Diverse Research Ecosystem Has Generated New Rehabilitation Technologies: Review of NIDILRR’s Rehabilitation Engineering Research Centers
Over 50 million United States citizens (1 in 6 people in the US) have a developmental, acquired, or degenerative disability. The average US citizen can expect to live 20% of his or her life with a disability. Rehabilitation technologies play a major role in improving the quality of life for people with a disability, yet widespread and highly challenging needs remain. Within the US, a major effort aimed at the creation and evaluation of rehabilitation technology has been the Rehabilitation Engineering Research Centers (RERCs) sponsored by the National Institute on Disability, Independent Living, and Rehabilitation Research. As envisioned at their conception by a panel of the National Academy of Science in 1970, these centers were intended to take a “total approach to rehabilitation”, combining medicine, engineering, and related science, to improve the quality of life of individuals with a disability. Here, we review the scope, achievements, and ongoing projects of an unbiased sample of 19 currently active or recently terminated RERCs. Specifically, for each center, we briefly explain the needs it targets, summarize key historical advances, identify emerging innovations, and consider future directions. Our assessment from this review is that the RERC program indeed involves a multidisciplinary approach, with 36 professional fields involved, although 70% of research and development staff are in engineering fields, 23% in clinical fields, and only 7% in basic science fields; significantly, 11% of the professional staff have a disability related to their research. We observe that the RERC program has substantially diversified the scope of its work since the 1970’s, addressing more types of disabilities using more technologies, and, in particular, often now focusing on information technologies. RERC work also now often views users as integrated into an interdependent society through technologies that both people with and without disabilities co-use (such as the internet, wireless communication, and architecture). In addition, RERC research has evolved to view users as able at improving outcomes through learning, exercise, and plasticity (rather than being static), which can be optimally timed. We provide examples of rehabilitation technology innovation produced by the RERCs that illustrate this increasingly diversifying scope and evolving perspective. We conclude by discussing growth opportunities and possible future directions of the RERC program
Influence of experimental noise on densities reconstructed from line projections
The influence of experimental noise on densities rho(p) reconstructed by the
Cormack method from their line projections, e.g. 2D ACAR spectra, is
investigated. Simulations of statistical noise are performed for various sets
of 2D spectra for two model rho(p) having the cubic symmetry. For the
reconstructed densities propagation of the statistical error in terms of
standard deviations, sigma[rho(p)], is estimated. We observe that the
distribution of sigma[rho(p)] has its extremes along the main symmetry
directions and also a tendency to accumulate for small p. Moreover, the more
density components, rho_n(p), have to be taken to description of rho(p) the
less anisotropic is the distribution of sigma[rho(p)]. Additionally, the error
generated by the reconstruction method itself is discussed.Comment: 6 pages, 8 figure
Big-Data-Driven Materials Science and its FAIR Data Infrastructure
This chapter addresses the forth paradigm of materials research -- big-data
driven materials science. Its concepts and state-of-the-art are described, and
its challenges and chances are discussed. For furthering the field, Open Data
and an all-embracing sharing, an efficient data infrastructure, and the rich
ecosystem of computer codes used in the community are of critical importance.
For shaping this forth paradigm and contributing to the development or
discovery of improved and novel materials, data must be what is now called FAIR
-- Findable, Accessible, Interoperable and Re-purposable/Re-usable. This sets
the stage for advances of methods from artificial intelligence that operate on
large data sets to find trends and patterns that cannot be obtained from
individual calculations and not even directly from high-throughput studies.
Recent progress is reviewed and demonstrated, and the chapter is concluded by a
forward-looking perspective, addressing important not yet solved challenges.Comment: submitted to the Handbook of Materials Modeling (eds. S. Yip and W.
Andreoni), Springer 2018/201
Towards a sustainability transition in the maritime shipping sector: the role of market segment characteristics
Maritime transport is arguably a neglected empirical field within sustainability transitions research, despite the global importance of reducing greenhouse gas (GHG) emissions and other pollutants also from this sector. What makes this especially interesting from a sustainability transitions perspective is that low- and zero-carbon energy (LoZeC) technologies would need to be implemented in a mature, multi-segmented sector that, similar to onshore transport, is highly heterogeneous in that it includes vessels ranging from massive inter-continental freight and bulk carriers to small passenger vessels. This suggests the need for a more differentiated and nuanced perspective on socio-technical regimes as well as on the emerging technological innovation systems and their interaction with each other. More specifically, we focus on the particular task and institutional environments that characterize different market segments. In this article we analyze the evolution of battery-electric (BE) energy storage in the maritime shipping sector (MSS), employing a framework that combines the multi-level perspective (MLP) and the functions of technological innovation systems (TIS) approach. Taken together, our analysis suggests that the MSS transition process is likely to unfold along different pathways in different market segments, and that different market segments will have different impacts and influences on TIS functionality. In summary, we contribute to the sustainability transitions literature by explicitly addressing the influence of market segment characteristics on regime susceptibility and TIS functionality. From a policy perspective, this points to a need for segment-specific policy instruments
Self-Organization, Layered Structure, and Aggregation Enhance Persistence of a Synthetic Biofilm Consortium
Microbial consortia constitute a majority of the earth’s biomass, but little is known about how these cooperating
communities persist despite competition among community members. Theory suggests that non-random spatial structures
contribute to the persistence of mixed communities; when particular structures form, they may provide associated
community members with a growth advantage over unassociated members. If true, this has implications for the rise and
persistence of multi-cellular organisms. However, this theory is difficult to study because we rarely observe initial instances
of non-random physical structure in natural populations. Using two engineered strains of Escherichia coli that constitute a
synthetic symbiotic microbial consortium, we fortuitously observed such spatial self-organization. This consortium forms a
biofilm and, after several days, adopts a defined layered structure that is associated with two unexpected, measurable
growth advantages. First, the consortium cannot successfully colonize a new, downstream environment until it selforganizes
in the initial environment; in other words, the structure enhances the ability of the consortium to survive
environmental disruptions. Second, when the layered structure forms in downstream environments the consortium
accumulates significantly more biomass than it did in the initial environment; in other words, the structure enhances the
global productivity of the consortium. We also observed that the layered structure only assembles in downstream
environments that are colonized by aggregates from a previous, structured community. These results demonstrate roles for
self-organization and aggregation in persistence of multi-cellular communities, and also illustrate a role for the techniques
of synthetic biology in elucidating fundamental biological principles
Presentation of a highly tuned multithreaded interval solver for underdetermined and well-determined nonlinear systems
Neurolymphomatosis mimicking neurosarcoidosis: a case report
<p>Abstract</p> <p>Introduction</p> <p>Both neurosarcoidosis and central nervous system lymphoma can be very difficult to diagnose. We describe the case of a patient in whom neurosarcoidosis was strongly suspected, but who was eventually found to have lymphoma. We believe the case to be of interest and practical value to neurologists, oncologists and internists with an interest in inflammatory diseases.</p> <p>Case presentation</p> <p>A diagnosis of neurosarcoidosis was considered in a 49-year-old Caucasian man on the basis of the following symptoms and indications: a cough, bilateral hilar lymphadenopathy confirmed by thoracic computed tomography, the development of an S1 radiculopathy, cerebrospinal fluid abnormalities (raised protein level), bilateral lung hilar and lachrymal gland uptake on a gallium scan, and erythema nodosum confirmed with skin biopsy. These were followed by the development of multiple cranial neuropathies, including seventh nerve palsy. Exhaustive further investigations yielded no evidence for an alternative diagnosis. Treatments with steroids, cyclophosphamide, intravenous immunoglobulin and finally infliximab were of no benefit. He eventually developed cutaneous nodules, a biopsy of which revealed lymphoma that proved resistant to therapy.</p> <p>Conclusion</p> <p>Constant diagnostic vigilance is required in disorders such as neurosarcoidosis.</p
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