5,072 research outputs found
"Jaffna sees sharp fall in number of voters" by T. Ramakrishnan
No full textThe Jaffna electoral district in the Northern Province has witnessed a sharp drop of over 25 per cent in the number of voters via: http://www.thehindu.com/news/international/jaffna-sees-sharp-fall-in-number-of-voters/article7408679.ec
From the sharp Sobolev inequality to the logarithmic Sobolev inequality
No full textopenStudio della disuguaglianza di Sobolev sharp e legame con la disuguaglianza di Sobolev logaritmicaStudy of the sharp Sobolev inequality and of its link with the logarithmic Sobolev inequalit
Approximate zero-one laws and sharpness of the percolation transition in a class of models including two-dimensional Ising percolation
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The development of smart-bandage technologies
No full textHealthcare associated infections of wound sites are a complex problem with substantial effects on patient morbidity and financial ramifications to healthcare bodies. The increasing interest in novel diagnostic strategies and preventing infections have led to an incursion of research into the topic. Whilst most emphasis has been placed on preventing wound infections, the bacterial flora is an ever present risk to the compromised host. In contrast with the majority of research developing antibacterial smart-dressings, the research detailed within describes the development of in-situ electrochemical sensor assemblies suitable for incorporation within traditional or ‘smart’ wound dressings. Sensor developments have led to prototype construction of a multitude of sensing substrates capable of quantitative analyses for the identification of infection. The key developments contained within highlight both generic and organism-specific sensors which can reliably monitor key chemical components of a wound exudate to allow sampling-free infection diagnostics
Spontaneous sharp wave-ripple complexes (SPW-R) in CA1 pyramidal layer.
No full text<p>(A) 5 s of SPW-R raw trace recorded in the CA1 pyramidal layer. (B) Time-frequency of SPW-R, sharp waves are superimposed by high frequency ripple oscillation (∼240 Hz). (C) Medians of sharp-wave frequency are around 3 Hz in all four groups. (D) Medians of sharp-wave amplitude are around 0.4 mV, which is similar among all four groups. (E) Median of ripple frequency is slightly higher in APPsα-KI mice, in comparison to APLP2-KO mice, but without significant difference. (F) Mean of ripple energy is slightly higher in APPsα-KI and APPsα-DM mice. (n = 17/15/16/14 slices from 11/11/11/10 animals).</p
Weyl orbit-orbit branching rules for Lie algebras
No full textThis thesis is devoted to branching rules for Lie algebras, that is the description of decompositions of algebra representations upon restriction to a subalgebra, and consists of three major parts.In the first part the Weyl orbit-orbit branching rules are calculated for all classical simple Lie algebra - maximal regular reductive subalgebra pairs: Cm+n⊃Cm⊕C n, Dm+n⊃Dm⊕D n, Bm+n⊃Dm⊕B n, Am+n+1⊃Am⊕An⊕ u1, Bm+1⊃Bm⊕u1 , Cm+1⊃Am⊕u1 , Dm+1⊃Dm⊕u1 , Dm+1⊃Am⊕u1 . The branching rules are given in terms of integrity bases and compatibility rules.In the second part we use results from the first part to derive the complete branching rules (i.e. representation-representation branching rules) for the algebra subalgebra series son ⊃son-2 ⊕u1. The branching rules are given in terms of generating functions.The third part is in character similar to the first part---the Weyl orbit-orbit branching rules are computed for affine algebra-subalgebra, pairs obtained from the pairs listed above by affinization. The rules are presented in terms of integrity bases and compatibility rules
Classification of Diabetes Mellitus (DM) using Machine Learning Algorithms
No full textDiabetes Mellitus (DM) is one of the most prevalent disease in the world today which
is associated by having high glucose level in body either due to inadequate production
of insulin or the body cell’s not responding towards the produced insulin. Data mining
and machine learning techniques can be extremely useful in classification of DM
considering the need to have a shift from current traditional method which uses sharp
needles to draw blood towards a non – invasive method. The objective of this study is
to perform DM classification using various machine learning algorithms using Weka
as a tool. In this paper, single classifiers such as Support Vector Machine, Naïve Bayes,
Bayes Net, Decision Stump, k – Nearest Neighbors, Logistic Regression, Multilayer
Perceptron and Decision Tree is experimented. Apart from that, ensemble methods
such as bagging, adaptive boosting using AdaBoostM1, hybrid classifier using
combinations of Random Forest with various base classifiers and ensemble algorithm
which is the Random Forest has also been studied. In this research, it was found that
performance of ensemble method using hybrid classifier of Random Forest – Bayes
Net model was found as the best DM classification model with an accuracy of 83.91%
using the Pima Indian Diabetes Dataset (PIDD) out beating all the other classification
algorithms. Whereas for the German Frankfurt dataset, best DM classification model
was found using Random Forest algorithm with an accuracy of 98.77%
Langley Full-scale-tunnel Investigation of Maximum Lift and Stability Characteristics of an Airplane Having Approximately Triangular Plan Form (DM-1 Glider)
No full textAn investigation of the DM-1 Glider, which had approximately triangular plan form, an aspect ratio of 1.8 and a 60 degree sweptback leading edge, has been conducted in the Langley full-scale tunnel. The investigation consisted of the determination of the separate effects of the following modifications made to the glider on its maximum lift and stability characteristics: (a) installation of sharp leading edges over the inboard semispan of the wing, (b) removal of the vertical fin, (c) sealing of the elevon control-balance slots, (d) installation of redesigned thin vertical surfaces, (e) installation of faired sharp leading edges, and (f) installation of canopy. The maximum lift coefficient of the DM-1 glider was increased from 0.61 to 1.01 by the installation of semispan sharp leading edges, and from 1.01 to 1.24 by the removal of the vertical fin and sealing of the elevon control-balance slots. The highest maximum lift coefficient (1.32) was obtained when the faired sharp leading edges and the thin vertical surfaces were attached to the glider. The original DM-1 glider was longitudinally stable. The semispan sharp leading edges shifted the neutral point forward approximately 3 percent of the root chord at moderate lift coefficients, and the glider configuration with these sharp leading edges attached was longitudinally unstable, for the assumed center-of-gravity location, at lift coefficients above 0.73. Sealing the elevon control-balance slots and installing the faired sharp leading edges, the thin vertical surfaces, and the canopy shifted the neutral point forward approximately 8 percent of the root chord
Comparison of the Parkes and FAST FRB DM distribution
No full textWe model the fast radio burst (FRB) dispersion measure (DM) distribution for the Five-hundred-meter Aperture Spherical Telescope (FAST) and compare this with the four FRBs published in the literature to date. We compare the DM distribution of Parkes and FAST, taking advantage of the similarity between their multibeam receivers. Notwithstanding the limited sample size, we observe a paucity of events at low DM for all evolutionary models considered, resulting in a sharp rise in the observed cumulative distribution function in the region of 1000 pc cm-3 ≲ DM ≲2000 pc cm-3. These traits could be due to statistical fluctuations (0.12 ≤ p ≤ 0.22), a complicated energy distribution or break in an energy distribution power law, spatial clustering, observational bias, or outliers in the sample (e.g. an excessive DMHost as recently found for FRB 20190520B). The energy distribution in this regime is unlikely to be adequately constrained until further events are detected. Modelling suggests that FAST may be well placed to discriminate between redshift evolutionary models and to probe the helium ionization signal of the intergalactic medium
Entanglement and quantity in quantum space - About quantum measurement (II)
No full textAs a continuation and extension of "quantity in phase space" "quantity in quantum space" is introduced. With that, the disappearing of quantum interference discussed in a previous paper [S. Durr, et al., Nature 395 (1998) 33] is explained in the same spirit as our recent papers [Ren De-Ming, Commun. Theor. Phys. (Beijing, China) 41 (2004) 685, 833].Physics, MultidisciplinarySCI(E)中国科学引文数据库(CSCD)1ARTICLE133-364
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