6,209 research outputs found
An improved multi-dimensional CMAC neural network: Receptive field function and placement
The standard CMAC has been shown to have fast learning computation as a result of modular receptive field placement, rectangular receptive field shape and a simple weight adaptation algorithm. The standard CMAC, however, suffers from slow convergence at some critical frequency due to the rectangular receptive field shape. A linearly-tapered field, which requires a uniform placement, was used in this research. The receptive field placement of the standard CMAC becomes less uniform locally for a larger receptive field width. This dissertation suggests a new field placement which is more uniform without extra computation. Results show that the slow convergence at the critical frequency is eliminated, and the interaction of the linearly-tapered field with the new placement achieves more accurate function approximation. A theoretical bound on the receptive field width as a function of the input dimension is proposed if a uniform placement is to be achieved. Also, a procedure for adapting receptive field density to minimize the weight usage for a given approximation accuracy is suggested
Broad Diphotons from Narrow States
ATLAS and CMS have each reported a modest diphoton excess consistent with the
decay of a broad resonance at ~ 750 GeV. We show how this signal can arise in a
weakly coupled theory comprised solely of narrow width particles. In
particular, if the decaying particle is produced off-shell, then the associated
diphoton resonance will have a broad, adjustable width. We present simplified
models which explain the diphoton excess through the three-body decay of a
scalar or fermion. Our minimal ultraviolet completion is a weakly coupled and
renormalizable theory of a singlet scalar plus a heavy vector-like quark and
lepton. The smoking gun of this mechanism is an asymmetric diphoton peak
recoiling against missing transverse energy, jets, or leptons
Sparse Bayesian Learning Approach for Discrete Signal Reconstruction
This study addresses the problem of discrete signal reconstruction from the
perspective of sparse Bayesian learning (SBL). Generally, it is intractable to
perform the Bayesian inference with the ideal discretization prior under the
SBL framework. To overcome this challenge, we introduce a novel discretization
enforcing prior to exploit the knowledge of the discrete nature of the
signal-of-interest. By integrating the discretization enforcing prior into the
SBL framework and applying the variational Bayesian inference (VBI)
methodology, we devise an alternating update algorithm to jointly characterize
the finite alphabet feature and reconstruct the unknown signal. When the
measurement matrix is i.i.d. Gaussian per component, we further embed the
generalized approximate message passing (GAMP) into the VBI-based method, so as
to directly adopt the ideal prior and significantly reduce the computational
burden. Simulation results demonstrate substantial performance improvement of
the two proposed methods over existing schemes. Moreover, the GAMP-based
variant outperforms the VBI-based method with an i.i.d. Gaussian measurement
matrix but it fails to work for non i.i.d. Gaussian matrices.Comment: 13 pages, 7 figure
NLO-QCD corrections to e+ e- --> hadrons in models of TeV-scale gravity
We present results on NLO-QCD corrections to the process e+ e- --> hadrons
via photon-, Z- and graviton-exchange in the context of TeV-scale gravity
models. The quantitative impact of these QCD corrections for searches of extra
dimensions at a Linear Collider is briefly discussed.Comment: 10 pages, LaTeX, using axodraw.st
Arterial distensibility in children and teenagers: Normal evolution and the effect of childhood vasculitis
Background: Polyarteritis nodosa is a necrotising vasculitis of the medium sized and small muscular arteries. The inflammatory and subsequent reparative processes may alter the arterial mechanical properties. The effect of vasculitic damage on arterial distensibility has never been explored however. Aim: To determine the normal values and the effect of childhood vasculitis on arterial distensibility in children and teenagers. Methods: Distensibility of the brachioradial arterial segment was studied using pulse wave velocity (PWV ∝1/√distensibility), in 13 children with polyarteritis nodosa at a median age of 11.8 (range 4.9-16) years. As a control group, 155 healthy schoolchildren (6-18 years, 81 boys) were studied. PWV was assessed using a photoplethysmographic technique; blood pressure was measured by an automatic sphygmomanometer (Dinamap). Data from patients were expressed as z scores adjusted for age and compared to a population mean of 0 by a single sample t test. Determinants of PWV in normal children were assessed by univariate and multivariate linear regression analyses. Results: Age, height, weight, and systolic blood pressure correlated individually with the brachioradial PWV. Multivariate analysis identified age as the only independent determinant. Ten of the patients were in clinical remission, while three had evidence of disease activity at the time of study. The PWV in the patient group as a whole was significantly greater than those in healthy children (mean z score +0.99). Raised C reactive protein concentration (>2 mg/dl) in the three patients with active disease was associated with a higher PWV when compared to those in remission (z score +2.78 v +0.45). The diastolic blood pressure of the patients was higher than those of the controls (z score + 1.04) while the systolic pressure was similar (z score -0.36). Conclusions: PWV in the brachioradial arterial segment increases gradually during childhood independent of body weight, height, mass, and blood pressure. Increased PWV, and hence decreased distensibility, in this peripheral arterial segment occurs in polyarteritis nodosa and is amplified during acute inflammatory exacerbation.published_or_final_versio
Searches with Mono-Leptons
We explore the implications of the mono-lepton plus missing transverse energy
signature at the LHC, and point out its significance on understanding how dark
matter interacts with quarks, where the signature arises from dark matter pair
production together with a leptonically decaying W boson radiated from the
initial state quarks. We derive limits using the existing W' searches at the
LHC, and find an interesting interference between the contributions from dark
matter couplings to up-type and down-type quarks. Mono-leptons can actually
furnish the strongest current bound on dark matter interactions for axial
vector (spin-dependent) interactions and iso-spin violating couplings. Should a
signal of dark matter production be observed, this process can also help
disentangle the dark matter couplings to up- and down-type quarks.Comment: four pages; six figures; the LHC 8 TeV results have been updated;
final version in PL
Evaluation of Magnetic Materials for Very High Frequency Power Applications
This paper investigates the loss characteristics of RF magnetic materials for power conversion applications in the 10 to 100 MHz range. A measurement method is proposed that provides a direct measurement of an inductor quality factor QL as a function of inductor current at RF frequencies, and enables indirect calculation of core loss as a function of flux density. Possible sources of error in measurement and calculation are evaluated and addressed. The proposed method is used to identify loss characteristics of several commercial RF magnetic-core materials. The loss characteristics of these materials, which have not previously been available, are illustrated and compared in tables and figures. The use of the method and data is demonstrated in the design of a magnetic-core inductor, which is applied in a 30-MHz inverter. The results of this paper are thus useful for the design of magnetic components for very high frequency applications.Sheila and Emanuel Landsman FoundationInterconnect Focus Center (United States. Defense Advanced Research Projects Agency and Semiconductor Research Corporation
Delivering mesenchymal stem cells in collagen microsphere carriers to rabbit degenerative disc - Reduced risk of osteophyte formation.
Mesenchymal stem cells (MSCs) have the potential to treat early intervertebral disc (IVD) degeneration. However, during intradiscal injection, the vast majority of cells leaked out even in the presence of hydrogel carrier. Recent evidence suggests that annulus puncture is associated with cell leakage and contributes to osteophyte formation, an undesirable side effect. This suggests the significance of developing appropriate carriers for intradiscal delivery of MSCs. We previously developed a collagen microencapsulation platform, which entraps MSCs in a solid microsphere consisting of collagen nanofiber meshwork. These solid yet porous microspheres support MSC attachment, survival, proliferation, migration, differentiation, and matrix remodeling. Here we hypothesize that intradiscal injection of MSCs in collagen microspheres will outperform that of MSCs in saline in terms of better functional outcomes and reduced side effects. Specifically, we induced disc degeneration in rabbits and then intradiscally injected autologous MSCs, either packaged within collagen microspheres or directly suspended in saline, into different disc levels. Functional outcomes including hydration index and disc height were monitored regularly until 6 months. Upon sacrifice, the involved discs were harvested for histological, biochemical, and biomechanical evaluations. MSCs in collagen microspheres showed advantage over MSCs in saline in better maintaining the dynamic mechanical behavior but similar performance in hydration and disc height maintenance and matrix composition. More importantly, upon examination of gross appearance, radiograph, and histology of IVD, delivering MSCs in collagen microspheres significantly reduced the risk of osteophyte formation as compared to that in saline. This work demonstrates the significance of using cell carriers during intradiscal injection of MSCs in treating disc degeneration.published_or_final_versio
Manganese-Mediated Reductive Transamidation of Tertiary Amides with Nitroarenes
Amides are an important class of organic compounds, which have widespread industrial applications. Transamidation of amides is a convenient method to generate new amides from existing ones. Tertiary amides, however, are challenging substrates for transamidation. Here we describe an unconventional approach to the transamidation of tertiary amides using nitroarenes as the nitrogen source under reductive conditions. Manganese metal alone mediates the reactions and no additional catalyst is required. The method exhibits broad scope and high functional group tolerance
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