579 research outputs found

    Partition Functions in Even Dimensional AdS via Quasinormal Mode Methods

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    In this note, we calculate the one-loop determinant for a massive scalar (with conformal dimension Δ\Delta) in even-dimensional AdSd+1_{d+1} space, using the quasinormal mode method developed in arXiv:0908.2657 by Denef, Hartnoll, and Sachdev. Working first in two dimensions on the related Euclidean hyperbolic plane H2H_2, we find a series of zero modes for negative real values of Δ\Delta whose presence indicates a series of poles in the one-loop partition function Z(Δ)Z(\Delta) in the Δ\Delta complex plane; these poles contribute temperature-independent terms to the thermal AdS partition function computed in arXiv:0908.2657. Our results match those in a series of papers by Camporesi and Higuchi, as well as Gopakumar et.al. in arXiv:1103.3627 and Banerjee et.al. in arXiv:1005.3044. We additionally examine the meaning of these zero modes, finding that they Wick-rotate to quasinormal modes of the AdS2_2 black hole. They are also interpretable as matrix elements of the discrete series representations of SO(2,1)SO(2,1) in the space of smooth functions on S1S^1. We generalize our results to general even dimensional AdS2n_{2n}, again finding a series of zero modes which are related to discrete series representations of SO(2n,1)SO(2n,1), the motion group of H2nH_{2n}.Comment: 27 pages; v2: minor updates and JHEP versio

    Developing computational thinking in the classroom: a framework

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    Computational thinking sits at the heart of the new statutory programme of study for Computing: “A high quality computing education equips pupils to use computational thinking and creativity to understand and change the world” (Department for Education, 2013, p. 188). This document aims to support teachers to teach computational thinking. It describes a framework that helps explain what computational thinking is, describes pedagogic approaches for teaching it and gives ways to assess it. Pupil progression with the previous ICT curriculum was often demonstrated through ‘how’ (for example, a software usage skill) or ‘what’ the pupil produced (for example, a poster). This was partly due to the needs of the business world for office skills. Such use of precious curriculum time however has several weaknesses. Firstly, the country’s economy depends on technological innovation not just on use of technology. Secondly, the pace of technology and organisational change is fast in that the ICT skills learnt are out of date before a pupil leaves school. Thirdly, technology invades all aspects of our life and the typically taught office practice is only a small part of technology use today

    Ensiklopedia Digital Negara Di Dunia Untuk Anak

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    Encyclopedias or digital encyclopedia is a number of media, can be text, graphics, audio, video, or animation, which contains explanations stored information about the whole branch of science or specialized in a particular branch of science that composed in part of the articles with a topic of discussion on each article are organized alphabetically, by category or volume are presented in the form of publications and multimedia applications. Digital encyclopedia of country was created with the aim to attract children in learning about the countries in the world, such as state capitals, geographic information states, flag states, the language used, the amount of people, places - places of tourism in the country, and the unique things about the country. Implementation is done using ActionScript 3.0 and PHP. The conclusion of the research is the application can increase knowledge, provide a more interesting explanation and more easily understood by elementary school-aged children about the countries in the world contained in this encyclopedia, also allows children to search for information about the country, and provide convenience to the counselors and teachers to deliver learning information about the country in the world to children

    Luciferase expression and bioluminescence does not affect tumor cell growth in vitro or in vivo

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    Live animal imaging is becoming an increasingly common technique for accurate and quantitative assessment of tumor burden over time. Bioluminescence imaging systems rely on a bioluminescent signal from tumor cells, typically generated from expression of the firefly luciferase gene. However, previous reports have suggested that either a high level of luciferase or the resultant light reaction produced upon addition of D-luciferin substrate can have a negative influence on tumor cell growth. To address this issue, we designed an expression vector that allows simultaneous fluorescence and luminescence imaging. Using fluorescence activated cell sorting (FACS), we generated clonal cell populations from a human breast cancer (MCF-7) and a mouse melanoma (B16-F10) cell line that stably expressed different levels of luciferase. We then compared the growth capabilities of these clones in vitro by MTT proliferation assay and in vivo by bioluminescence imaging of tumor growth in live mice. Surprisingly, we found that neither the amount of luciferase nor biophotonic activity was sufficient to inhibit tumor cell growth, in vitro or in vivo. These results suggest that luciferase toxicity is not a necessary consideration when designing bioluminescence experiments, and therefore our approach can be used to rapidly generate high levels of luciferase expression for sensitive imaging experiments

    Metode Nonlinear Least Square (NLS) Untuk Estimasi Parameter Model Wavelet Radial Basis Neural Network (WRBNN)

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    The use of wavelet radial basis model for forecasting nonlinear time series is introduced in this paper. The model is generated by artificial neural network approximation under restriction that the activation function on the hidden layers is radial basis. The current model is developed from the multiresolution autoregressives (MAR) model, with addition of radial basis function in the hidden layers. The power of model is compared to the other nonlinear model existed before, such as MAR model and Generalized Autoregressives Conditional Heteroscedastic (GARCH) model. The simulation data which be generated from GARCH process is applied to support the aim of research. The sufficiency of model is measured by sum squared of error (SSE). The computation results show that the proposed model has a power as good as GARCH model to carry on the heteroscedastic process

    Power to Detect Risk Alleles Using Genome-Wide Tag SNP Panels

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    Advances in high-throughput genotyping and the International HapMap Project have enabled association studies at the whole-genome level. We have constructed whole-genome genotyping panels of over 550,000 (HumanHap550) and 650,000 (HumanHap650Y) SNP loci by choosing tag SNPs from all populations genotyped by the International HapMap Project. These panels also contain additional SNP content in regions that have historically been overrepresented in diseases, such as nonsynonymous sites, the MHC region, copy number variant regions and mitochondrial DNA. We estimate that the tag SNP loci in these panels cover the majority of all common variation in the genome as measured by coverage of both all common HapMap SNPs and an independent set of SNPs derived from complete resequencing of genes obtained from SeattleSNPs. We also estimate that, given a sample size of 1,000 cases and 1,000 controls, these panels have the power to detect single disease loci of moderate risk (λ ∼ 1.8–2.0). Relative risks as low as λ ∼ 1.1–1.3 can be detected using 10,000 cases and 10,000 controls depending on the sample population and disease model. If multiple loci are involved, the power increases significantly to detect at least one locus such that relative risks 20%–35% lower can be detected with 80% power if between two and four independent loci are involved. Although our SNP selection was based on HapMap data, which is a subset of all common SNPs, these panels effectively capture the majority of all common variation and provide high power to detect risk alleles that are not represented in the HapMap data

    Pre-Clinical Study of Immediate Effects of Religious and Non-Religious Mindfulness Practice on Cardiovascular and Cortical Modulation

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    Although low levels of stress can be motivating, high levels of stress – especially when it is sustained – can be detrimental to mental and physical health. Mindfulness practice has been widely applied in health care worldwide as an effective stress management approach. This study compared the immediate effects of two types (religious: Serenity Prayer; and non-religious: Body Scan) of mindfulness practice with a control condition (resting: sitting) in six adults. This study found no statistically significant difference between the conditions, but data visualization showed a trend of cardiovascular modulation (increased high frequency of heart rate variability) and cortical modulation (increased alpha to beta ratio and theta to beta ratio of quantitative encephalogram) with a greater level of perceived stress-relieved by both types of mindfulness practice. In addition, religious belief may be a moderator of the effects of intervention. The results of this study offered insight into the effect of prayer on cardiovascular and cortical modulation for promoting the well-being of a person
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