3,539 research outputs found
Designing a Belief Function-Based Accessibility Indicator to Improve Web Browsing for Disabled People
The purpose of this study is to provide an accessibility measure of
web-pages, in order to draw disabled users to the pages that have been designed
to be ac-cessible to them. Our approach is based on the theory of belief
functions, using data which are supplied by reports produced by automatic web
content assessors that test the validity of criteria defined by the WCAG 2.0
guidelines proposed by the World Wide Web Consortium (W3C) organization. These
tools detect errors with gradual degrees of certainty and their results do not
always converge. For these reasons, to fuse information coming from the
reports, we choose to use an information fusion framework which can take into
account the uncertainty and imprecision of infor-mation as well as divergences
between sources. Our accessibility indicator covers four categories of
deficiencies. To validate the theoretical approach in this context, we propose
an evaluation completed on a corpus of 100 most visited French news websites,
and 2 evaluation tools. The results obtained illustrate the interest of our
accessibility indicator
House prices and the stance of monetary policy
This paper estimates a Bayesian vector autoregression for the U.S. economy that includes a housing sector and addresses the following questions: Can developments in the housing sector be explained on the basis of developments in real and nominal gross domestic product and interest rates? What are the effects of housing demand shocks on the economy? How does monetary policy affect the housing market? What are the implications of house price developments for the stance of monetary policy? Regarding the latter question, we implement a Cespedes et al. (2006) version of a monetary conditions index
Belief Hierarchical Clustering
In the data mining field many clustering methods have been proposed, yet
standard versions do not take into account uncertain databases. This paper
deals with a new approach to cluster uncertain data by using a hierarchical
clustering defined within the belief function framework. The main objective of
the belief hierarchical clustering is to allow an object to belong to one or
several clusters. To each belonging, a degree of belief is associated, and
clusters are combined based on the pignistic properties. Experiments with real
uncertain data show that our proposed method can be considered as a propitious
tool
Antibody Therapies in Autoimmune Encephalitis
Autoimmune encephalitis (AE) comprises a heterogeneous group of disorders in which the host immune system targets self-antigens expressed in the central nervous system. The most conspicuous example is an anti-N-methyl-d-aspartate receptor encephalitis linked to a complex neuropsychiatric syndrome. Current treatment of AE is based on immunotherapy and has been established according to clinical experience and along the concept of a B cell-mediated pathology induced by highly specific antibodies to neuronal surface antigens. In general, immunotherapy for AE follows an escalating approach. When first-line therapy with steroids, immunoglobulins, and/or plasma exchange fails, one converts to second-line immunotherapy. Alkylating agents could be the first choice in this stage. However, due to their side effect profile, most clinicians give preference to monoclonal antibodies (mAbs) directed at B cells such as rituximab. Newer mAbs might be added as a third-line therapy in the future, or be given even earlier if shown effective. In this chapter, we will discuss mAbs targeting B cells (rituximab, ocrelizumab, inebulizumab, daratumumab), IL-6 (tocilizumab, satralizumab), the neonatal Fc receptor (FCRn) (efgartigimod, rozanolixizumab), and the complement cascade (eculizumab). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13311-021-01178-4
Malignant tumours of the kidney: imaging strategy
Primitive malignant renal tumours comprise 6% of all childhood cancers. Wilms tumour (WT) or nephroblastoma is the most frequent type accounting for more than 90%. Imaging alone cannot differentiate between these tumours with certainty but it plays an important role in screening, diagnostic workup, assessment of therapy response, preoperative evaluation and follow-up. The outcome of WT after therapy is excellent with an overall survival around 90%. In tumours such as those where the outcome is extremely good, focus can be shifted to a risk-based stratification to maintain excellent outcome in children with low risk tumours while improving quality of life and decreasing toxicity and costs. This review will discuss the imaging issues for WT from the European perspective and briefly discuss the characteristics of other malignant renal tumours occurring in children and new imaging techniques with potential in this matter
High-rate deposition of microcrystalline silicon p-i-n solar cells in the high pressure depletion regime
Hydrogenated microcryst. silicon films (micro c-Si:H) deposited at high deposition rates (.apprx.2 nm/s) by means of the very-high-frequency deposition technique in the high pressure depletion regime have been integrated into single junction p-i-n solar cells. It is demonstrated that micro c-Si:H solar cells can be optimized using a twofold approach. First the bulk properties, deposited under steady-state plasma conditions, are optimized by monitoring the presence of cryst. grain boundaries in micro c-Si:H. These hydrogenated cryst. grain boundaries can easily be detected via the cryst. surface hydrides contribution to the narrow high stretching modes by IR transmission spectroscopy. The cryst. grain boundaries suffer from post-deposition oxidn. which results in a reduced red response of the solar cell. The absence of these cryst. surfaces in an as-deposited micro c-Si:H matrix reflects the device grade microcryst. bulk material. Second, the prevention of silane back-diffusion from the background during the initial growth is a necessity to deposit a uniform micro c-Si:H phase over the entire film thickness. The initial growth is optimized while preserving the optimized bulk properties deposited under steady-state conditions, using initial profiling of plasma parameters such as the silane flow and the very-high-frequency power d. Solar cell devices with efficiency of 8.0% at a micro c-Si:H deposition rate of 2.0 nm/s are obtained using the presented approach
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Trading risks: The value of relationships, models and face-to-face interaction in the global reinsurance market
Over the past 20 years, the reinsurance industry has experienced three profound forces for change. First,
technological change has improved information distribution and strengthened connections between global
markets. Second, regulatory emphasis on global equivalence in trading practices has generated pressure for
convergence across different marketplaces. Third, the widespread acceptance of vendor property catastrophe
models has led to more standardised approaches to the evaluation of reinsurance risks, levelling the playing
field for decision-making on at least some classes of business.
These changes have intensified competition between reinsurance markets. Reinsurance trading centres in remote
geographic locations, such as Bermuda, where it is more difficult to transact business face-to-face, have been
able to write risk via electronic communications and now have very significant positions in the global reinsurance
market. Simultaneously, Lloyd’s of London, one of the original reinsurance markets that is still very much based
on the face-to-face approach, has demonstrated its capability to weather financial shocks and downturns and
remains an important player in global reinsurance
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