5,635 research outputs found

    Skyrmions in a ferromagnetic Bose-Einstein condensate

    Full text link
    The recently realized multicomponent Bose-Einstein condensates provide opportunities to explore the rich physics brought about by the spin degrees of freedom. For instance, we can study spin waves and phase separation, macroscopic quantum tunneling, Rabi oscillations, the coupling between spin gradients and superfluid flow, squeezed spin states, vortices and other topological excitations. Theoretically, there have been already some studies of the ground-state properties of these systems and their line-like vortex excitations. In analogy with nuclear physics or the quantum Hall effect, we explore here the possibility of observing point-like topological excitations or skyrmions. These are nontrivial spin textures that in principle can exist in a spinor Bose-Einstein condensate. In particular, we investigate the stability of skyrmions in a fictitious spin-1/2 condensate of Rb87 atoms. We find that skyrmions can exist in this case only as a metastable state, but with a lifetime of the order of, or even longer than, the typical lifetime of the condensate itself. In addition to determining the size and the lifetime of the skyrmion, we also present its spin texture and finally briefly consider its dynamical properties.Comment: 4 pages (REVtex), 3 PDF figures. See also cond-mat/000237

    Prevalence, awareness, treatment and control of hypertension in the Palestinian population

    Get PDF
    We determined the prevalence of hypertension and the level of awareness, treatment and control of hypertension among Palestinian adults in a population-based cross-sectional survey. Two-stage stratified sampling method was used to select 2077 participants from the general population aged 25 years and over. Trained observers obtained two blood pressure (BP) measurements from each individual by the use of a standardized mercury sphygmomanometer after a 5-min sitting rest. Information on sociogeographical factors and antihypertensive medications was obtained using a standard questionnaire. Hypertension was defined as a mean systolic BP (SBP) X140mm Hg, diastolic BP (DBP)X90mmHg, and/or use of antihypertensive medications. The overall prevalence of hypertension was 27.6%, with a higher percentage among men (29.2 vs 26.4%; P¼0.04). Hypertension increased with age in both men and women. Among hypertensive patients, 51.0% were aware of their elevated BP, 40.2% had treatment and only 9.5% achieved targeted BP control (o140/90mmHg). Patients under antihypertensive treatment showed SBP and DBP that were only 3.1mmHg and 2.5mmHg lower than individuals without antihypertensive treatment, respectively. The data show that hypertension prevalence among Palestinian adults is high, whereas the proportions of awareness treatment and control of hypertension were low. Concerted public health effort is urgently required to improve the detection, treatment and control of hypertension in Palestine.Technical and financial support for this study was made available by the Palestinian American Research Council. We also wish to thank Dr Asa’d Ramlawi, Head of the primary care department at the Palestinian Ministry of Health for his support. This project is Funded by the Palestinian American Research Council

    Factors Affect Students’ Satisfaction In Blended Learning Courses In A Private University In Vietnam

    Get PDF
    Blended learning, a combination of online and offline learning, is believed to enhance students’ self-learning, and help increase their learning performances. To successfully operate a blended learning system, increasing the learners’ satisfaction seems to be an important task. Moreover, there should be a duty to understand the self-efficacy of a student to encourage them to participate in this course (Chen & Yao, 2016). As a result, knowing the internal or external factors that influence student satisfaction in blended learning is critical for the effective design of blended learning courses in the future (Graham, Henrie, & Gibbons, 2013). In this study, a 76-item survey questionnaire with a five-level Likert scale was administered to 2403 students, in which 453 returned but just 345 responses were qualified for data analysis. The questionnaire was adapted from the previous studies by Reid (1984), Wu, Hsia, Liao, & Tennyson (2008), Ali (2011), Azawei (2017). The results divulged that a) social environment and cognitive factors had significantly positive correlations with students’ satisfaction in a BL course, in which social factors have a higher relation, b) learning climate and perceived usefulness are the two factors having the most significant impact on student satisfaction, while c) students’ learning styles have the lowest correlation, but positive to the other variables. The pedagogical implications and limitations of study are also discussed

    On Effective Action of Multiple M5-branes and ABJM Action

    Get PDF
    We calculate the fluctuations from the classical multiple M5-brane solution of ABJM action which we found in the previous paper. We obtain D4-brane-like action but the gauge coupling constant depends on the spacetime coordinate. This is consistent with the expected properties of M5-brane action, although we will need to take into account the monopole operators in order to fully understand M5-branes. We also see that the Nambu-Poisson bracket is hidden in the solution.Comment: 21 pages; v2:version to appear in JHE

    On the Computational Complexity of Vertex Integrity and Component Order Connectivity

    Full text link
    The Weighted Vertex Integrity (wVI) problem takes as input an nn-vertex graph GG, a weight function w:V(G)Nw:V(G)\to\mathbb{N}, and an integer pp. The task is to decide if there exists a set XV(G)X\subseteq V(G) such that the weight of XX plus the weight of a heaviest component of GXG-X is at most pp. Among other results, we prove that: (1) wVI is NP-complete on co-comparability graphs, even if each vertex has weight 11; (2) wVI can be solved in O(pp+1n)O(p^{p+1}n) time; (3) wVI admits a kernel with at most p3p^3 vertices. Result (1) refutes a conjecture by Ray and Deogun and answers an open question by Ray et al. It also complements a result by Kratsch et al., stating that the unweighted version of the problem can be solved in polynomial time on co-comparability graphs of bounded dimension, provided that an intersection model of the input graph is given as part of the input. An instance of the Weighted Component Order Connectivity (wCOC) problem consists of an nn-vertex graph GG, a weight function w:V(G)Nw:V(G)\to \mathbb{N}, and two integers kk and ll, and the task is to decide if there exists a set XV(G)X\subseteq V(G) such that the weight of XX is at most kk and the weight of a heaviest component of GXG-X is at most ll. In some sense, the wCOC problem can be seen as a refined version of the wVI problem. We prove, among other results, that: (4) wCOC can be solved in O(min{k,l}n3)O(\min\{k,l\}\cdot n^3) time on interval graphs, while the unweighted version can be solved in O(n2)O(n^2) time on this graph class; (5) wCOC is W[1]-hard on split graphs when parameterized by kk or by ll; (6) wCOC can be solved in 2O(klogl)n2^{O(k\log l)} n time; (7) wCOC admits a kernel with at most kl(k+l)+kkl(k+l)+k vertices. We also show that result (6) is essentially tight by proving that wCOC cannot be solved in 2o(klogl)nO(1)2^{o(k \log l)}n^{O(1)} time, unless the ETH fails.Comment: A preliminary version of this paper already appeared in the conference proceedings of ISAAC 201

    Intracardiac anatomical relationships and potential for streaming in double inlet left ventricles.

    Get PDF
    The aim of this study was to gain better understanding of the variable anatomical features of double inlet left ventricle hearts without cavopulmonary connection that would potentially facilitate favorable streaming. Thirty-nine post-mortem specimens of double inlet left ventricle without cavopulmonary connection were investigated. The focus was on anatomical characteristics that could influence the flow and separation of deoxygenated and oxygenated blood in the ventricles. Elements of interest were the ventriculoarterial connection, the spatial relationship of the ventricles, the position and size of the great arteries, the ventricular septal defect, the presence of relative outflow tract stenosis and the relationship of the inflow and outflow tracts. The most common anatomy was a discordant ventriculoarterial connection with an anatomically left-sided morphologically right ventricle (n = 12, 31%). When looking at the pulmonary trunk/aorta ratio, 21 (72%) hearts showed no pulmonary stenosis relative to the aorta. The ventricular septal defect created a relative subpulmonary or subaortic stenosis in 13 (41%) cases. Sixteen (41%) hearts had a parallel relationship of the inflow and outflow tracts, facilitating separation of deoxygenated and oxygenated blood streams. On the other end of the spectrum were 10 (25%) hearts with a perpendicular relationship, which might lead to maximum mixing of the blood streams. The relationship of the inflow and outflow tracts as well as the presence of (sub-) pulmonary stenosis might play a crucial role in the distribution of blood in double inlet left ventricle hearts. Additional in vivo studies will be necessary to confirm this postulation

    Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting

    Full text link
    The smart metering infrastructure has changed how electricity is measured in both residential and industrial application. The large amount of data collected by smart meter per day provides a huge potential for analytics to support the operation of a smart grid, an example of which is energy demand forecasting. Short term energy forecasting can be used by utilities to assess if any forecasted peak energy demand would have an adverse effect on the power system transmission and distribution infrastructure. It can also help in load scheduling and demand side management. Many techniques have been proposed to forecast time series including Support Vector Machine, Artificial Neural Network and Deep Learning. In this work we use Long Short Term Memory architecture to forecast 3-day ahead energy demand across each month in the year. The results show that 3-day ahead demand can be accurately forecasted with a Mean Absolute Percentage Error of 3.15%. In addition to that, the paper proposes way to quantify the time as a feature to be used in the training phase which is shown to affect the network performance

    A Non-Abelian Self-Dual Gauge Theory in 5+1 Dimensions

    Full text link
    We construct a non-Abelian gauge theory of chiral 2-forms (self-dual gauge fields) in 6 dimensions with a spatial direction compactified on a circle of radius R. It has the following two properties. (1) It reduces to the Yang-Mills theory in 5 dimensions for small R. (2) It is equivalent to the Lorentz-invariant theory of Abelian chiral 2-forms when the gauge group is Abelian. Previous no-go theorems prohibiting non-Abelian deformations of the chiral 2-form gauge theory are circumvented by introducing nonlocality along the compactified dimension.Comment: 23 pages, reference adde

    Non-abelian Action for Multiple Five-Branes with Self-Dual Tensors

    Full text link
    We construct an action for non-abelian 2-form in 6-dimensions. Our action consists of a non-abelian generalization of the abelian action of Perry and Schwarz for a single five-brane. It admits a self-duality equation on the field strength as the equation of motion. It has a modified 6d Lorentz symmetry. On dimensional reduction on a circle, our action gives the standard 5d Yang-Mills action plus higher order corrections. Based on these properties, we propose that our theory describes the gauge sector of multiple M5-branes in flat space.Comment: LaTeX, 26 pages. v2: improved discussion of Lorentz symmetry. ref added. v3: add comments in the discussion section on the inclusion of scalar fields and supersymmetry; title changed to a more suitable one; version published in JHE
    corecore